gordicaleksa / get-started-with-JAXLinks
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. 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.
☆776Updated 2 years ago
Alternatives and similar repositories for get-started-with-JAX
Users that are interested in get-started-with-JAX are comparing it to the libraries listed below
Sorting:
- 100 exercises to learn JAX☆600Updated 3 years ago
- JAX - A curated list of resources https://github.com/google/jax☆2,032Updated 2 weeks ago
- Course notes☆739Updated last year
- All about the fundamental blocks of TF and JAX!☆277Updated 4 years ago
- ML Collections is a library of Python Collections designed for ML use cases.☆1,009Updated last week
- ☆793Updated last week
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆199Updated 2 years ago
- ☆828Updated 9 months ago
- Optax is a gradient processing and optimization library for JAX.☆2,169Updated this week
- CLU lets you write beautiful training loops in JAX.☆366Updated last week
- ☆923Updated this week
- For optimization algorithm research and development.☆558Updated 3 weeks ago
- TensorDict is a pytorch dedicated tensor container.☆1,003Updated last week
- ☆490Updated last year
- PIX is an image processing library in JAX, for JAX.☆432Updated 10 months ago
- ☆618Updated last week
- "Deep Generative Modeling": Introductory Examples☆1,285Updated 5 months ago
- All about the fundamentals and working of Diffusion Models☆159Updated 3 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆226Updated last year
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,022Updated last month
- A walkthrough of transformer architecture code☆370Updated last year
- A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.☆979Updated last year
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- Library for reading and processing ML training data.☆677Updated this week
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,757Updated this week
- Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.☆1,114Updated 2 weeks ago
- Compositional Linear Algebra☆506Updated 6 months ago
- A Graph Neural Network Library in Jax☆1,462Updated last year
- Code for our NeurIPS 2022 paper☆371Updated 3 years ago
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆406Updated this week