Alternatives and similar repositories for code-and-blog

Users that are interested in code-and-blog are comparing it to the libraries listed below

• mblondel / teaching
  ☆85Updated 4 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆60Updated 5 years ago
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆112Updated 3 years ago
• google-deepmind / neural_testbed
  ☆192Updated 3 months ago
• RobertTLange / reading-notes-ml
  Progress, Notes, Summaries and a lot of Questions on Machine Learning
  ☆55Updated 5 years ago
• srush / torch-queue
  ☆71Updated last year
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• microsoft / coax
  This project was moved to: https://github.com/coax-dev/coax
  ☆160Updated 2 years ago
• cgarciae / treeo
  A small library for creating and manipulating custom JAX Pytree classes
  ☆56Updated 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
• shreyansh26 / ML-Optimizers-JAX
  Toy implementations of some popular ML optimizers using Python/JAX
  ☆44Updated 4 years ago
• mle-infrastructure / mle-logging
  Lightweight ML Experiment Logging 📖
  ☆80Updated last year
• mle-infrastructure / mle-scheduler
  Lightweight Cluster/Cloud VM Job Management 🚀
  ☆42Updated last year
• facebookresearch / MathsFromExamples
  Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François…
  ☆181Updated 4 years ago
• IssamLaradji / sps
  Official code for the Stochastic Polyak step-size optimizer
  ☆139Updated last year
• jambo6 / neuralRDEs
  Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
  ☆118Updated 4 years ago
• ethanluoyc / magi
  Reinforcement learning library in JAX.
  ☆100Updated last year
• google-deepmind / mc_gradients
  ☆170Updated last year
• cgarciae / jax_metrics
  A metrics library for the JAX ecosystem
  ☆40Updated 2 years ago
• rolandgvc / flaxvision
  A selection of neural network models ported from torchvision for JAX & Flax.
  ☆44Updated 2 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 …
  ☆65Updated 5 years ago
• n2cholas / shapecheck
  Framework-agnostic library for checking array/tensor shapes at runtime.
  ☆46Updated 4 years ago
• nestordemeure / jochastic
  A JAX implementation of stochastic addition.
  ☆14Updated 3 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆128Updated last year
• aleatory-science / deep-probprog-course
  Deep Probabilistic Programming Course @ DIKU
  ☆58Updated 5 years ago
• g-benton / loss-surface-simplexes
  ☆100Updated 3 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆78Updated last year
• google-deepmind / tf2jax
  ☆115Updated 3 weeks ago
• SymJAX / SymJAX
  Documentation:
  ☆123Updated 2 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago