RobertTLange / code-and-blog

Related projects ⓘ

Alternatives and complementary repositories for code-and-blog

• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆104Updated 2 years ago
• shreyansh26 / ML-Optimizers-JAX
  Toy implementations of some popular ML optimizers using Python/JAX
  ☆43Updated 3 years ago
• ethanluoyc / magi
  Reinforcement learning library in JAX.
  ☆102Updated last year
• RobertTLange / reading-notes-ml
  Progress, Notes, Summaries and a lot of Questions on Machine Learning
  ☆55Updated 4 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆58Updated 4 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"
  ☆60Updated 2 years ago
• google-deepmind / neural_testbed
  ☆191Updated 6 months ago
• ayulockin / LossLandscape
  Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …
  ☆62Updated 4 years ago
• fsschneider / DeepOBS
  DeepOBS: A Deep Learning Optimizer Benchmark Suite
  ☆103Updated 11 months ago
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆115Updated 4 years ago
• teddykoker / grokking
  PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆33Updated 2 years ago
• mblondel / teaching
  ☆85Updated 3 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 5 years ago
• srush / torch-queue
  ☆67Updated last year
• g-benton / loss-surface-simplexes
  ☆97Updated 2 years ago
• paganpasta / eqxvision
  A Python package of computer vision models for the Equinox ecosystem.
  ☆102Updated 4 months ago
• henry-prior / jax-rl
  JAX implementations of core Deep RL algorithms
  ☆79Updated 2 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆122Updated 4 months ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆47Updated 2 years ago
• cgarciae / treeo
  A small library for creating and manipulating custom JAX Pytree classes
  ☆57Updated last year
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner …
  ☆128Updated last month
• cgarciae / nanoGPT-jax
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆30Updated 11 months ago
• SymJAX / SymJAX
  Documentation:
  ☆120Updated last year
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆105Updated 4 years ago
• IssamLaradji / sps
  Official code for the Stochastic Polyak step-size optimizer
  ☆137Updated 5 months ago
• cgarciae / treex
  A Pytree Module system for Deep Learning in JAX
  ☆214Updated last year
• PrincetonLIPS / RandomizedAutomaticDifferentiation
  Experiment code for "Randomized Automatic Differentiation"
  ☆67Updated 4 years ago
• facebookresearch / amortized-optimization-tutorial
  Tutorial on amortized optimization for learning to optimize over continuous domains
  ☆236Updated last year
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆38Updated 4 years ago
• google-deepmind / jax_verify
  Neural network verification in JAX
  ☆142Updated last year