Auteur/autrice : Francis

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

https://github.com/mlfoundations/open_clip

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

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

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

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

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

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

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

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

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

https://omnimotion.github.io/

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

https://github.com/XingangPan/DragGAN

https://arxiv.org/abs/2306.07629

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

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

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

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

https://arxiv.org/abs/2304.12210

https://github.com/h2oai/h2ogpt

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

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

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

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

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

https://github.com/mrsked/mrsk

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

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

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

https://arxiv.org/abs/2212.02691

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

https://github.com/GoogleContainerTools/distroless

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

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

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

http://sortbenchmark.org/ELSAR2022.pdf

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

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

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

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

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…

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

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

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

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

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

https://github.com/cookiecutter/cookiecutter