JAX: accelerated machine learning research via composable function transformations in Python Published -- Download video MP4 360p Recommendations 29:49 Simon Pressler: Getting started with JAX 24:07 AI can't cross this line and we don't know why. 23:40 JAX: Accelerated Machine Learning Research | SciPy 2020 | VanderPlas 1:51:35 NeurIPS 2020 Tutorial: Deep Implicit Layers 1:02:15 NeurIPS 2020: JAX Ecosystem Meetup 1:57:05 Day 1 Talks: JAX, Flax & Transformers 🤗 57:24 Terence Tao at IMO 2024: AI and Mathematics 31:27 "High performance machine learning with JAX" - Mat Kelcey (PyConline AU 2021) 1:03:42 JAX Talk: Diffrax 31:18 The Story of Shor's Algorithm, Straight From the Source | Peter Shor 13:00 How AI Discovered a Faster Matrix Multiplication Algorithm 1:17:57 Machine Learning with JAX - From Zero to Hero | Tutorial #1 17:38 The moment we stopped understanding AI [AlexNet] 46:09 Why Isn't Functional Programming the Norm? – Richard Feldman 58:23 LBM Fluid Simulation in Python with JAX | van Karman Vortex Street Similar videos 10:30 Intro to JAX: Accelerating Machine Learning research 04:15 What is JAX? 1:14:40 RAS: JAX Composable Function Transformations in Python/NumPy - Gustavo Leite 1:06:58 Stanford MLSys Seminar Episode 6: Roy Frostig on JAX 03:25 introduction to jax 55:57 JAX numpy killer 08:30 Ivy: Demos - 15 Accelerating PyTorch Models With JAX 1:31:52 Accelerating Python with Cython, Numba, and JAX | April 19, 2023 03:16 How to use JAX? 19:00 Introduction to JAX 2023 More results