Lambda the Ultimate
- Google Brain's Jax and Flax https://github.com/google/flax/ 0 comments Implementation , Python , Scientific Programming , Software Engineering
Linking pages
- GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more https://github.com/google/jax 99 comments
- the world’s largest distributed LLM training job on TPU v5e | Google Cloud Blog https://cloud.google.com/blog/products/compute/the-worlds-largest-distributed-llm-training-job-on-tpu-v5e 50 comments
- GitHub - google-deepmind/recurrentgemma: Open weights language model from Google DeepMind, based on Griffin. https://github.com/google-deepmind/recurrentgemma 38 comments
- GitHub - huggingface/transformers: 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. https://github.com/huggingface/transformers 26 comments
- GitHub - patrick-kidger/equinox: Elegant easy-to-use neural networks in JAX. https://docs.kidger.site/equinox/ https://github.com/patrick-kidger/equinox 25 comments
- GitHub - RobinKa/jaxga: Geometric Algebra package for JAX https://github.com/RobinKa/jaxga 12 comments
- AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks – Google Research Blog https://blog.research.google/2024/03/autobnn-probabilistic-time-series.html?m=1 5 comments
- Axon: Deep Learning in Elixir – Sean Moriarity https://seanmoriarity.com/2021/04/08/axon-deep-learning-in-elixir/ 1 comment
- GitHub - remifan/commplax: A Python DSP framework for optical communications, accelerated in CPU/GPU, differentiate, vectorize, and more, powered by JAX. https://github.com/remifan/commplax 1 comment
- GitHub - oscinis-com/Awesome-LLM-Productization: Awesome-LLM-Productization: a curated list of tools/tricks/news/regulations about AI and Large Language Model (LLM) productization https://github.com/oscinis-com/Awesome-LLM-Productization 1 comment
- AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks – Google Research Blog https://blog.research.google/2024/03/autobnn-probabilistic-time-series.html 1 comment
- PaLI: Scaling Language-Image Learning in 100+ Languages – Google AI Blog https://ai.googleblog.com/2022/09/pali-scaling-language-image-learning-in.html 0 comments
- Implementing Graph Neural Networks with JAX http://gcucurull.github.io/deep-learning/2020/04/20/jax-graph-neural-networks/ 0 comments
- Google Research: Looking Back at 2020, and Forward to 2021 – Google AI Blog https://ai.googleblog.com/2021/01/google-research-looking-back-at-2020.html 0 comments
- GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
- GitHub - arogozhnikov/einops: Deep learning operations reinvented (for pytorch, tensorflow, jax and others) https://github.com/arogozhnikov/einops 0 comments
- GitHub - ChristosChristofidis/awesome-deep-learning: A curated list of awesome Deep Learning tutorials, projects and communities. https://github.com/ChristosChristofidis/awesome-deep-learning 0 comments
- GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more https://opensource.google/projects/jax 0 comments
- GitHub - huggingface/transformers: 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. https://github.com/huggingface/pytorch-transformers 0 comments
- JAX Ecosystem. JAX by Google Research is getting more… | by Grigory Sapunov | Medium https://moocaholic.medium.com/jax-a13e83f49897 0 comments
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