Alternatives and similar repositories for presentations:

Users that are interested in presentations are comparing it to the libraries listed below

• ethanluoyc / magi
  Reinforcement learning library in JAX.
  ☆100Updated last year
• facebookresearch / amortized-optimization-tutorial
  Tutorial on amortized optimization for learning to optimize over continuous domains
  ☆241Updated last month
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆109Updated 2 years ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆306Updated last month
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆123Updated last year
• cgarciae / nanoGPT-jax
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆33Updated last year
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆48Updated last year
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆90Updated last year
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 2 years ago
• samuela / torch2jax
  Run PyTorch in JAX. 🤝
  ☆236Updated 2 months ago
• nikihowe / myriad
  Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.
  ☆66Updated last year
• lebrice / torch_jax_interop
  Simple tools to mix and match PyTorch and Jax - Get the best of both worlds!
  ☆27Updated 2 weeks ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆201Updated last year
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆151Updated last year
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆177Updated 2 years ago
• ivy-llc / gym
  Fully differentiable RL environments, written in Ivy.
  ☆64Updated last year
• google-deepmind / tf2jax
  ☆114Updated last week
• AllanYangZhou / universal_neural_functional
  ☆49Updated last year
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆89Updated 8 months ago
• google-deepmind / kfac-jax
  Second Order Optimization and Curvature Estimation with K-FAC in JAX.
  ☆269Updated this week
• Felix-Petersen / algovision
  Differentiable Algorithms and Algorithmic Supervision.
  ☆115Updated last year
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆115Updated 3 weeks ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆348Updated last week
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• aks2203 / easy-to-hard
  Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
  ☆59Updated 3 years ago
• google / deluca
  Performant, differentiable reinforcement learning
  ☆120Updated 10 months ago
• bhoov / hamux
  Hierarchical Associative Memory User Experience
  ☆101Updated last year
• YigitDemirag / forward-gradients
  JAX implementation of "Gradients without Backpropagation" paper
  ☆24Updated 2 years ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆148Updated 6 months ago
• khdlr / augmax
  Efficiently Composable Data Augmentation on the GPU with Jax
  ☆33Updated 9 months ago