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It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.We present a new approach to modeling sequential data: the deep equilibrium model (DEQ). Motivated by an observation that the hidden layers of many existing deep sequence models converge towards some fixed point, we propose the DEQ approach that directly finds these equilibrium points via root-finding. Such a method is equivalent to running an infinite depth (weight-tied) feedforward network ...Flax delivers an end-to-end and flexible user experience for researchers who use JAX with neural networks.Flax exposes the full power of JAX.It is made up of loosely coupled libraries, which are showcased with end-to-end integrated guides and examples. Flax is used by hundreds of projects (and growing), both in the open source community (like Hugging Face) and at Google (like PaLM, Imagen ...Listen to Deepjax Club 2 on Spotify. Various Artists · Compilation · 2023 · 10 songs.RLax：Jax 上也有强化学习库了. 除了令人印象深刻的 Haiku 外，DeepMind 还开源了 RLax——这是一个基于 Jax 的强化学习库。. 相比 Haiku，RLax 专门针对强化学习。. 项目作者认为，尽管强化学习中的算子和函数并不是完全的算法，但是，如果需要构建完全基于函数式的 ...Google JAX is a machine learning framework for transforming numerical functions. It is described as bringing together a modified version of autograd and Tens...JAX-ROCm Docker Images: This repository contains the latest support for JAX in ROCm framework. Here's the recommended command to launch JAX-ROCm docker image: alias drun='sudo docker run -it --network=host --device=/dev/kfd --device=/dev/dri --ipc=host --shm-size 16G --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -w ...JAX Quickstart. #. JAX is NumPy on the CPU, GPU, and TPU, with great automatic differentiation for high-performance machine learning research. With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy code. It can differentiate through a large subset of Python’s features, including loops, ifs, recursion ...
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