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Linking pages
- GitHub - tensorchord/Awesome-LLMOps: An awesome & curated list of best LLMOps tools for developers https://github.com/tensorchord/Awesome-LLMOps 5 comments
- GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning https://github.com/EthicalML/awesome-production-machine-learning 0 comments
- GitHub - monk1337/Aweome-Heathcare-Federated-Learning: A curated list of Federated Learning papers/articles and recent advancements. https://github.com/monk1337/Aweome-Heathcare-Federated-Learning 0 comments
- GitHub - tensorchord/awesome-open-source-mlops: An awesome & curated list of best open source MLOps/LLMOps tools for data scientists. https://github.com/tensorchord/awesome-open-source-mlops 0 comments
- Flower Framework main https://flower.dev/docs/framework/tutorial-series-what-is-federated-learning.html 0 comments
Linked pages
- TensorFlow http://tensorflow.org/ 440 comments
- fast.ai – fast.ai—Making neural nets uncool again https://fast.ai 382 comments
- PyTorch http://pytorch.org/ 100 comments
- Hugging Face – The AI community building the future. https://huggingface.co/ 57 comments
- pandas - Python Data Analysis Library http://pandas.pydata.org/ 34 comments
- TensorFlow Lite | ML for Mobile and Edge Devices https://www.tensorflow.org/lite/ 22 comments
- NumPy https://numpy.org 17 comments
- Flower: A Friendly Federated Learning Framework https://flower.dev/ 13 comments
- scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation http://scikit-learn.org/ 13 comments
- https://arxiv.org/pdf/1602.05629.pdf 6 comments
- Flower Summit 2022 https://flower.dev/conf/flower-summit-2022/ 2 comments
- JAX: High-Performance Array Computing — JAX documentation https://jax.readthedocs.io/ 1 comment
- PyTorch Lightning https://pytorchlightning.ai/ 0 comments
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