Alternatives and similar repositories for minGPT

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

• davisyoshida / lorax
  LoRA for arbitrary JAX models and functions
  ☆142Updated last year
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆183Updated last week
• cgarciae / nanoGPT-jax
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆36Updated last year
• young-geng / scalax
  A simple library for scaling up JAX programs
  ☆143Updated 11 months ago
• cgarciae / ciclo
  A functional training loops library for JAX
  ☆88Updated last year
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆89Updated last year
• jenkspt / gpt-jax
  Jax/Flax rewrite of Karpathy's nanoGPT
  ☆60Updated 2 years ago
• google-deepmind / jmp
  JMP is a Mixed Precision library for JAX.
  ☆208Updated 8 months ago
• google-deepmind / tf2jax
  ☆115Updated last month
• sholtodouglas / scalingExperiments
  ☆62Updated 3 years ago
• davisyoshida / qax
  If it quacks like a tensor...
  ☆59Updated 10 months ago
• ayaka14732 / jax-smi
  JAX Synergistic Memory Inspector
  ☆180Updated last year
• andyljones / boardlaw
  Scaling scaling laws with board games.
  ☆53Updated 2 years ago
• davisyoshida / haiku-mup
  A port of muP to JAX/Haiku
  ☆25Updated 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
• shyamsn97 / hyper-nn
  Easy Hypernetworks in Pytorch and Jax
  ☆105Updated 2 years ago
• AakashKumarNain / mistral_jax
  This is a port of Mistral-7B model in JAX
  ☆32Updated last year
• Sea-Snell / grokking
  unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆79Updated 3 years ago
• JesseFarebro / flax-mup
  Maximal Update Parametrization (μP) with Flax & Optax.
  ☆16Updated last year
• Sea-Snell / JAXSeq
  Train very large language models in Jax.
  ☆209Updated last year
• HomebrewML / Olmax
  HomebrewNLP in JAX flavour for maintable TPU-Training
  ☆50Updated last year
• cgarciae / nnx
  Neural Networks for JAX
  ☆84Updated last year
• ludwigwinkler / JaxLightning
  Running Jax in PyTorch Lightning
  ☆113Updated 9 months ago
• nestordemeure / jochastic
  A JAX implementation of stochastic addition.
  ☆14Updated 3 years ago
• cgarciae / jax_metrics
  A metrics library for the JAX ecosystem
  ☆40Updated 2 years ago
• alvarobartt / safejax
  Serialize JAX, Flax, Haiku, or Objax model params with 🤗`safetensors`
  ☆46Updated last year
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• lucidrains / jax2torch
  Use Jax functions in Pytorch
  ☆251Updated 2 years ago
• attentionneuron / attentionneuron.github.io
  ☆26Updated 3 years ago
• borisdayma / clip-jax
  Train vision models using JAX and 🤗 transformers
  ☆100Updated 2 weeks ago