Notes de Francis

  • Machine Learning
    • AutoML
    • Deep Learning
    • Google AI
    • GPU
    • Hugging Face
    • MLOps
    • NLP
    • PyCaret
  • Cloud
    • Azure
    • Container
  • Code
    • DevOps
    • GitHub
    • Python
    • Raspberry Pi
  • Introducing GPTs

    https://openai.com/blog/introducing-gpts?fbclid=IwAR1bc_tWeq8ejhleFn2qn-pPjY7Ch5tvWCvG1skwMrI_kNaUk4cgek4dcl0

    7 novembre 2023
  • mlfoundations/open_clip: An open source implementation of CLIP.

    https://github.com/mlfoundations/open_clip

    28 octobre 2023
  • Getting the most from cloud services and containers | McKinsey

    https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/getting-the-most-from-cloud-services-and-containers?cid=soc-app&utm_content=buffer1e14a&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer

    5 octobre 2023
  • Docker Images,Docker file and port expose

    https://medium.com/@aakib2991/docker-part-3-docker-images-docker-file-and-port-expose-885d57d2e697

    5 octobre 2023
  • A psychometric assessment on Emotional Intelligence of Large Language Models

    https://emotional-intelligence.github.io/?fbclid=IwAR0PggfJG_554P0PIECzj26xYKSvG0x_ttTMYwwUAZKIB0C3OTqcRcvNC2g

    3 octobre 2023
  • 2 October, 2023 07:47

    https://generativeai.pub/graph-of-thoughts-explained-f25b51afefab?gi=df0413646530

    2 octobre 2023
  • Knowledge Graphs & LLMs: Real-Time Graph Analytics | by Tomaz Bratanic | Neo4j Developer Blog | Jul, 2023 | Medium

    https://medium.com/neo4j/knowledge-graphs-llms-real-time-graph-analytics-89b392eaaa95

    22 juillet 2023
  • LangChain 🤝 Streamlit

    https://blog-streamlit-io.cdn.ampproject.org/c/s/blog.streamlit.io/langchain-streamlit/amp/

    12 juillet 2023
  • JourneyDB/JourneyDB · Datasets at Hugging Face

    https://huggingface.co/datasets/JourneyDB/JourneyDB

    4 juillet 2023
  • Transformers.js

    https://huggingface.co/docs/transformers.js/index

    1 juillet 2023
  • How I Coded My Own Private French Tutor Out of ChatGPT | by Shaked Zychlinski | Jun, 2023 | Towards Data Science

    https://towardsdatascience.com/how-i-coded-my-own-private-french-tutor-out-of-chatgpt-16b3e15007bb

    1 juillet 2023
  • Tracking Everything Everywhere All at Once

    https://omnimotion.github.io/

    29 juin 2023
  • GitHub – NielsRogge/Transformers-Tutorials: This repository contains demos I made with the Transformers library by HuggingFace.

    https://github.com/NielsRogge/Transformers-Tutorials

    28 juin 2023
  • GitHub – XingangPan/DragGAN: Official Code for DragGAN (SIGGRAPH 2023)

    https://github.com/XingangPan/DragGAN

    26 juin 2023
  • 2306.07629 SqueezeLLM: Dense-and-Sparse Quantization

    https://arxiv.org/abs/2306.07629

    20 juin 2023
  • What runs ChatGPT? Inside Microsoft’s AI supercomputer | Featuring Mark Russinovich

    https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/what-runs-chatgpt-inside-microsoft-s-ai-supercomputer-featuring/ba-p/3830281?utm_content=buffer3d7e2&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer

    28 mai 2023
  • LaMini is here: a little giant LLM on your CPU

    https://artificialcorner.com/lamini-is-here-a-little-giant-llm-on-your-cpu-8af30ff5a7c2?gi=263024e685a2

    28 mai 2023
  • Transformer models: an introduction and catalog — 2023 Edition – AI, software, tech , and people, not in that order… by X

    https://amatriain.net/blog/transformer-models-an-introduction-and-catalog-2d1e9039f376/

    27 mai 2023
  • A Simple Tool to Start Making Decisions with the Help of AI

    https://hbr.org/2018/04/a-simple-tool-to-start-making-decisions-with-the-help-of-ai

    26 mai 2023
  • 2304.12210 A Cookbook of Self-Supervised Learning

    https://arxiv.org/abs/2304.12210

    26 avril 2023
  • GitHub – h2oai/h2ogpt: Come join the movement to make the world’s best open source GPT led by H2O.ai

    https://github.com/h2oai/h2ogpt

    22 avril 2023
  • Microsoft Open-Sources Multimodal Chatbot Visual ChatGPT

    https://www.infoq.com/news/2023/04/microsoft-visual-chatgpt/?utm_term=global&utm_content=buffer1c1e8&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer

    20 avril 2023
  • HuggingGPT – a Hugging Face Space by microsoft

    https://huggingface.co/spaces/microsoft/HuggingGPT

    15 avril 2023
  • GitHub – jina-ai/gptdeploy: One line to create them all

    https://github.com/jina-ai/gptdeploy

    12 avril 2023
  • The Complete Guide to Spiking Neural Networks | by Ali Moezzi | Apr, 2023 | Towards AI

    https://pub.towardsai.net/the-complete-guide-to-spiking-neural-networks-d0a85fa6a64

    12 avril 2023
  • What is PL/Rust? – PL/Rust Guide

    https://tcdi.github.io/plrust/plrust.html

    10 avril 2023
  • GitHub – mrsked/mrsk: Deploy web apps anywhere.

    https://github.com/mrsked/mrsk

    7 avril 2023
  • GitHub – facebookresearch/segment-anything: The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

    https://github.com/facebookresearch/segment-anything

    5 avril 2023
  • PCA for Multivariate Time Series: Forecasting Dynamic High-Dimensional Data

    System Forecasting in Presence of Noise and Serial Correlation https://towardsdatascience.com/pca-for-multivariate-time-series-forecasting-dynamic-high-dimensional-data-ab050a19e8db

    27 mars 2023
  • Four Approaches to build on top of Generative AI Foundational Models

    https://towardsdatascience.com/four-approaches-to-build-on-top-of-generative-ai-foundational-models-43c1a64cffd5 Four Approaches to build on top of Generative AI Foundational Models What works, the pros and cons, and example code for each approach towardsdatascience.com

    26 mars 2023
  • 2212.02691 LUNA: Language Understanding with Number Augmentations on Transformers via Number Plugins and Pre-training

    https://arxiv.org/abs/2212.02691

    20 mars 2023
  • Alpaca – Stanford CRFM

    https://crfm.stanford.edu/2023/03/13/alpaca.html

    19 mars 2023
  • GitHub – GoogleContainerTools/distroless: 🥑 Language focused docker images, minus th e operating system.

    https://github.com/GoogleContainerTools/distroless

    18 mars 2023
  • Could you train a ChatGPT-beating model for $85,000 and run it in a browser?

    https://simonwillison.net/2023/Mar/17/beat-chatgpt-in-a-browser/

    17 mars 2023
  • Export to ONNX – a Hugging Face Space by onnx

    https://huggingface.co/spaces/onnx/export

    17 mars 2023
  • 6 New Booming Data Science Libraries You Must Learn To Boost Your Skill Set in 2023

    Data science isn’t just Pandas, NumPy, and Scikit-learn anymore https://towardsdatascience.com/6-new-booming-data-science-libraries-you-must-learn-to-boost-your-skill-set-in-2023-106b318d9fa

    15 mars 2023
  • ELSAR 2022 – Sort benchmark

    http://sortbenchmark.org/ELSAR2022.pdf

    15 mars 2023
  • Developer Resources from Intel & Hugging Face

    https://www.intel.com/content/www/us/en/developer/partner/hugging-face.html

    7 mars 2023
  • GitHub – szheng3/rust-individual-project-2: Rust server that summarizes text with pre-trained models

    https://github.com/szheng3/rust-individual-project-2

    1 mars 2023
  • amazon-science/mm-cot: Official implementation for « Multimodal Chain-of-Thought Reasoning in Language Models » (stay tuned and more will be updated)

    https://github.com/amazon-science/mm-cot

    21 février 2023
  • 20 February, 2023 21:29

    https://github.com/nogibjj/rust-mlops-template/tree/static/OnnxDemo

    20 février 2023
  • Graph Neural Networks Go Forward-Forward

    Graph Forward-Forward (GFF) algorithm, an extension of the Forward-Forward procedure to graphs, able to handle features distributed over a graph’s nodes. This allows training graph neural networks with forward passes only, without backpropagation. https://arxiv.org/abs/2302.05282 Graph Neural Networks Go Forward-Forward We present the Graph Forward-Forward (GFF) algorithm, an extension of the Forward-Forward procedure to graphs, able…

    14 février 2023
  • Pix2Pix Video – a Hugging Face Space by fffiloni

    https://huggingface.co/spaces/fffiloni/Pix2Pix-Video

    12 février 2023
  • Sustainability with Rust | AWS Open Source Blog

    https://aws.amazon.com/fr/blogs/opensource/sustainability-with-rust/

    9 février 2023
  • GokuMohandas/Made-With-ML: Learn how to responsibly develop, deploy and maintain production machine learning applications.

    https://github.com/GokuMohandas/Made-With-ML

    6 février 2023
  • 31 January, 2023 13:09

    https://moez-62905.medium.com/decorating-your-python-code-a-beginners-guide-to-decorators-3bedb022cfe7

    31 janvier 2023
  • GitHub – databricks/mlops-stack

    https://github.com/databricks/mlops-stack

    25 janvier 2023
  • GitHub – cookiecutter/cookiecutter: A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

    https://github.com/cookiecutter/cookiecutter

    25 janvier 2023
  • BART Text Summarization vs. GPT-3 vs. BERT: An In-Depth Comparison

    https://www.width.ai/post/bart-text-summarization BART Text Summarization vs. GPT-3 vs. BERT: An In-Depth Comparison BART does a good job of producing a grammatically correct summary that covers both the focus areas — health and personality. It also removes all the spurious, unreadable text (like "@CAPS2"). www.width.ai

    24 janvier 2023
  • GitHub – dair-ai/ML-Papers-Explained: Explanation to key concepts in ML

    https://github.com/dair-ai/ML-Papers-Explained

    15 janvier 2023
  • 30 December, 2022 19:56

    https://towardsdatascience.com/adam-latest-trends-in-deep-learning-optimization-6be9a291375c

    30 décembre 2022
  • A summary of Few-Shot Learning with Graph Neural Networks | by Nivedita Majee | Medium

    https://medium.com/@dita.niki03/a-summary-of-few-shot-learning-with-graph-neural-networks-c33b5d0d7a6f

    30 décembre 2022
  • Deep Learning Is Not Just Inadequate for Solving AGI, It Is Useless | by Rebel Science | Nov, 2022 | Medium

    https://medium.com/@RebelScience/deep-learning-is-not-just-inadequate-for-solving-agi-it-is-useless-2da6523ab107

    30 décembre 2022
  • Cramming: Training a Language Model on a Single GPU in One Day – Jonas Geiping and Tom Goldstein University of Maryland 2022

    This repository contains code to replicate our research described in "Cramming: Training a Language Model on a Single GPU in One Day". We experiment with language model pretraining a BERT-type model with limited compute, wondering "how bad can it really be"? https://github.com/JonasGeiping/cramming GitHub – JonasGeiping/cramming: Cramming the training of a (BERT-type) language model into limited…

    29 décembre 2022
  • 29 December, 2022 12:31

    https://blog.qooba.net/2022/10/25/speedup-mlflow-models-serving-with-rust/

    29 décembre 2022
  • GitHub – Aeternalis-Ingenium/FastAPI-Backend-Template: A backend project template with FastAPI, PostgreSQL with asynchronous SQLAlchemy 2.0, Alembic for asynchronous database migration, and Docker.

    https://github.com/Aeternalis-Ingenium/FastAPI-Backend-Template

    29 décembre 2022
  • AI learns to write computer code in ‘stunning’ advance

    DeepMind’s AlphaCode outperforms many human programmers in tricky software challenges https://www.science.org/content/article/ai-learns-write-computer-code-stunning-advance AI learns to write computer code in ‘stunning’ advance Software runs the world. It controls smartphones, nuclear weapons, and car engines. But there’s a global shortage of programmers. Wouldn’t it be nice if anyone could explain what they want a program to do, and…

    27 décembre 2022
  • Top Python libraries of 2022 you should know about | Tryolabs

    Welcome to the 8th edition of our Top Python Libraries list! We are excited to present this year’s picks for the most innovative developments in the Python ecosystem. From this edition, we are expanding our list to include not only libraries per-se, but also tools that are built to belong in the Python ecosystem —…

    27 décembre 2022
  • Quantum Artificial Intelligence in Financial Crime | by Danny Butvinik | Analytics Vidhya | Medium

    https://medium.com/analytics-vidhya/quantum-artificial-intelligence-in-financial-crime-24a6671915e7

    21 décembre 2022
  • 20 December, 2022 09:51

    A quick overview of ChatGPT’s architecture… The AI Powering ChatGPT: A clever combination of the InstructGPT architecture with reinforcement learning models. "The main ideas behind ChatGPT were pioneered by another OpenAI’s , InstructGPT which was released earlier this year. InstructGPT fine tunes GPT to follow instructions which opens the door to a wider set of…

    20 décembre 2022
  • How I Used ChatGPT To Automate These 6 Tasks In My Data Science Role | by Ahmed Besbes | Dec, 2022 | Level Up Coding

    ChatGPT is like Google, StackOverflow and Readthedocs combined https://levelup.gitconnected.com/how-i-used-chatgpt-to-automate-these-6-tasks-in-my-data-science-role-52e8ddfc03cf

    20 décembre 2022
  • Training One Million Machine Learning Models in Record Time with Ray | Anyscale

    https://www.anyscale.com/blog/training-one-million-machine-learning-models-in-record-time-with-ray

    18 décembre 2022
  • How we divided our server latency by 3 by switching from T4 GPUs to A10g | PhotoRoom Tech Blog

    https://www.photoroom.com/tech/switching-from-t4-to-a10/

    17 décembre 2022
  • FastAPI for Machine Learning: Live coding an ML web application. – YouTube

    https://m.youtube.com/watch?v=_BZGtifh_gw&feature=youtu.be

    16 décembre 2022
  • Meta AI Releases Data2vec 2.0: An Efficient Self-Supervised Learning For Machine Learning Tasks

    Meta AI recently introduced Data2vec 2.0, an AI processor that uses computer vision for multi-camera multi-person re-identification. Data2vec 2.0 is 16 times faster than the current leading self-supervised method in computer vision and is just as accurate. It is 11 times faster than wav2vec 2.0 on the LibriSpeech benchmark and just as accurate as RoBERTa…

    15 décembre 2022
  • Illustrating Reinforcement Learning from Human Feedback (RLHF)

    https://huggingface.co/blog/rlhf

    11 décembre 2022
  • Using an Out-of-Core Approach to Process Large Datasets

    Faster big-data analysis workflows with an open-source library https://towardsdatascience.com/how-to-speed-up-data-processing-in-pandas-a272d3485b24

    10 décembre 2022
  • Should You Be Using Webhooks?. Introduction | by Fikayo Adepoju | Hookdeck | Medium

    One of the simplest ways online applications share data is through the use of webhooks, a one-way communication format for moving data from one application to another. However, webhooks aren’t the only method for data transfer between networked applications. As an engineer, it is very important to use the right tool for the right problem,…

    1 décembre 2022
  • Stable Diffusion with Core ML on Apple Silicon – Apple Machine Learning Research

    https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon

    1 décembre 2022
  • Google Dataset Search

    https://datasetsearch.research.google.com/

    29 novembre 2022
  • Using MLOps to Build a Real-time End-to-End Machine Learning Pipeline | Binance Blog

    https://www.binance.com/en/blog/all/using-mlops-to-build-a-realtime-endtoend-machine-learning-pipeline-3820048062346322706

    29 novembre 2022
  • CICERO: An AI agent that negotiates, persuades, and cooperates with people

    Games have long been a proving ground for new AI advancements — from Deep Blue’s victory over chess grandmaster Garry Kasparov, to AlphaGo’s mastery of Go, to Pluribus out-bluffing the best humans in poker. But truly useful, versatile agents will need to go beyond just moving pieces on a board. Can we build more effective…

    22 novembre 2022
  • Magic3D: High-Resolution Text-to-3D Content Creation

    Magic3D is a new text-to-3D content creation tool that creates 3D mesh models with unprecedented quality. Together with image conditioning techniques as well as prompt-based editing approach, we provide users with new ways to control 3D synthesis, opening up new avenues to various creative applications. https://deepimagination.cc/Magic3D/

    21 novembre 2022
  • Text Based Inpainting – a Hugging Face Space by nielsr

    Demo for using CLIPSeg, a CLIP-based model for zero- and one-shot image segmentation. This model can be used to segment things in an image based on text. This way, one can use it to provide a binary mask for Stable Diffusion, which the latter needs to inpaint. To use it, simply upload an image and…

    21 novembre 2022
  • A visual guide on troubleshooting Kubernetes deployments

    https://learnk8s.io/troubleshooting-deployments

    21 novembre 2022
  • Comprehensive Python Cheatsheet

    https://gto76.github.io/python-cheatsheet/

    19 novembre 2022
  • 2209.00099 Efficient Methods for Natural Language Processing: A Survey

    Getting the most out of limited resources allows advances in natural language processing (NLP) research and practice while being conservative with resources. Those resources may be data, time, storage, or energy. Recent work in NLP has yielded interesting results from scaling; however, using only scale to improve results means that resource consumption also scales. That…

    19 novembre 2022
  • 19 November, 2022 02:00

    Galactica was supposed to help scientists. Instead, it mindlessly spat out biased and incorrect nonsense. https://www-technologyreview-com.cdn.ampproject.org/c/s/www.technologyreview.com/2022/11/18/1063487/meta-large-language-model-ai-only-survived-three-days-gpt-3-science/amp/

    19 novembre 2022
  • Introducing more ways to deploy Azure Container Apps – Microsoft Community Hub

    Azure Container Apps is a fully managed serverless container service for building and deploying modern apps at scale. Today, we’re introducing new preview features to make it even easier to build and deploy container apps: A new GitHub action to build and deploy container apps A new Azure Pipelines task to build and deploy container…

    18 novembre 2022
  • A Brain-Inspired Chip Can Run AI With Far Less Energy | Quanta Magazine

    An energy-efficient chip called NeuRRAM fixes an old design flaw to run large-scale AI algorithms on smaller devices, reaching the same accuracy as wasteful digital computers. https://www.quantamagazine.org/a-brain-inspired-chip-can-run-ai-with-far-less-energy-20221110/

    18 novembre 2022
  • GitHub – paperswithcode/galai: Model API for GALACTICA

    GALACTICA is a general-purpose scientific language model. It is trained on a large corpus of scientific text and data. It can perform scientific NLP tasks at a high level, as well as tasks such as citation prediction, mathematical reasoning, molecular property prediction and protein annotation. A demo is available at galactica.org. https://github.com/paperswithcode/galai

    16 novembre 2022
  • Which Feature Engineering Techniques improve Machine Learning Predictions?

    Understanding the various feature engineering techniques can be handy for an ML practitioner. After all, features are one of the most determining factors about how machine learning and deep learning models perform in real-time. https://towardsdatascience.com/which-feature-engineering-techniques-improve-machine-learning-predictions-227d732068f5 Which Feature Engineering Techniques improve Machine Learning Predictions? | by Suhas Maddali | Nov, 2022 | Towards Data Science Photo…

    14 novembre 2022
  • Top Python libraries for Time Series Analysis in 2022

    Python libraries and frameworks data scientists must know for time series analysis in 2022 https://moez-62905.medium.com/top-python-libraries-for-time-series-analysis-in-2022-eebe95913085

    14 novembre 2022
  • WIDeText: A Multimodal Deep Learning Framework | by Wayne Zhang | The Airbnb Tech Blog | Medium

    How we designed a multimodal deep learning framework for quick product development, and how the Room Type Classification models built upon it helped us better understand the homes on our platform. https://medium.com/airbnb-engineering/widetext-a-multimodal-deep-learning-framework-31ce2565880c

    14 novembre 2022
  • 14 November, 2022 04:48

    The field of data science is always getting better, both in terms of the tools that are already available and those that are being developed every day. Even though no tool is flawless and comprehensive, having the right tools on your side can make a big difference in productivity and execution. https://moez-62905.medium.com/data-scientists-starter-toolkit-for-end-to-end-machine-learning-life-cycle-in-2022-2d2420bda22c

    14 novembre 2022
  • How I learn machine learning | Vicki Boykis

    https://vickiboykis.com/2022/11/10/how-i-learn-machine-learning/

    13 novembre 2022
  • GitHub – visenger/awesome-mlops: A curated list of references for MLOps

    An awesome list of references for MLOps – Machine Learning Operations https://github.com/visenger/awesome-mlops

    13 novembre 2022
  • 8 November, 2022 23:05

    https://karpathy.medium.com/software-2-0-a64152b37c35

    8 novembre 2022
  • MLflow and Azure Machine Learning – Azure Machine Learning | Microsoft Learn

    MLflow is an open-source framework that’s designed to manage the complete machine learning lifecycle. Its ability to train and serve models on different platforms allows you to use a consistent set of tools regardless of where your experiments are running: locally on your computer, on a remote compute target, on a virtual machine, or on…

    8 novembre 2022
  • 7 November, 2022 07:53

    Learn the foundations of machine learning through intuitive explanations, clean code and visualizations. Learn how to combine machine learning with software engineering to build production-grade applications. https://github.com/GokuMohandas/Made-With-ML GokuMohandas/Made-With-ML: Learn how to responsibly develop, deploy and maintain production machine learning applications. – GitHub Mission. ML is not a separate industry, instead, it’s a powerful way of…

    7 novembre 2022
  • 2209.07663 Monolith: Real Time Recommendation System With Collisionless Embedding Table (Tik Tok)

    Building a scalable and real-time recommendation system is vital for many businesses driven by time-sensitive customer feedback, such as short-videos ranking or online ads. Despite the ubiquitous adoption of production-scale deep learning frameworks like TensorFlow or PyTorch, these general-purpose frameworks fall short of business demands in recommendation scenarios for various reasons: on one hand, tweaking…

    6 novembre 2022
  • 6 November, 2022 20:33

    Reinforcement learning (RL) is an area of machine learning that focuses on training intelligent agents using related experiences so they can learn to solve decision making tasks, such as playing video games, flying stratospheric balloons, and designing hardware chips. Due to the generality of RL, the prevalent trend in RL research is to develop agents…

    6 novembre 2022
  • Language Models are Realistic Tabular Data Generators

    Tabular data is among the oldest and most ubiquitous forms of data. However, the generation of synthetic samples with the original data’s characteristics still remains a significant challenge for tabular data. While many generative models from the computer vision domain, such as autoencoders or generative adversarial networks, have been adapted for tabular data generation, less…

    6 novembre 2022
  • Code-to-cloud with Azure Kubernetes Service (AKS)

    https://techcommunity.microsoft.com/t5/apps-on-azure-blog/code-to-cloud-with-azure-kubernetes-service-aks/ba-p/3669916?utm_content=buffere4c0d&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer

    5 novembre 2022
  • Make a video content analyzer app with Streamlit and AssemblyAI

    https://blog.streamlit.io/make-a-video-content-analyzer-app-with-streamlit-and-assemblyai/

    4 novembre 2022
  • 9 Docker Extensions Every Developer Must Try

    https://dev.to/docker/9-docker-extensions-every-developer-must-try-1no2

    4 novembre 2022
  • Search PDFs with AI and Python

    With neural search seeing rapid adoption, more people are looking at using it for indexing and searching through their unstructured data. I know several folks already building PDF search engines powered by AI, so I figured I’d give it a stab too. How hard could it possibly be? https://jina.ai/news/search-pdfs-with-ai-and-python-part-1/ Search PDFs with AI and Python:…

    2 novembre 2022
  • Active-Learning-as-a-Service: An Efficient MLOps System for Data-Centric AI

    The success of today’s AI applications requires not only model training (Model- centric) but also data engineering (Data-centric). In data-centric AI, active learning (AL) plays a vital role, but current AL tools can not perform AL tasks efficiently. To this end, this paper presents an efficient MLOps system for AL, named ALaaS (Active-Learning-as-a-Service). Specifically, ALaaS…

    1 novembre 2022
  • ALaaS: Active Learning as a Service.

    Active Learning as a Service (ALaaS) is a fast and scalable framework for automatically selecting a subset to be labeled from a full dataset so to reduce labeling cost. It provides a out-of-the-box and standalone experience for users to quickly utilize active learning. https://github.com/MLSysOps/Active-Learning-as-a-Service MLSysOps/Active-Learning-as-a-Service: A scalable & efficient active learning/data selection system for everyone.…

    1 novembre 2022
  • Pandas DataFrame Tutorial – Beginner’s Guide to GPU Accelerated DataFrames in Python

    This post is the first installment of the series of introductions to the RAPIDS ecosystem. The series explores and discusses various aspects of RAPIDS that allow its users solve ETL (Extract, Transform, Load) problems, build ML (Machine Learning) and DL (Deep Learning) models, explore expansive graphs, process geospatial, signal, and system log data, or use…

    1 novembre 2022

Notes de Francis

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