Alternatives and similar repositories for lean_transformer:

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

• iKernels / transformers-lightning
  A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transfor…
  ☆47Updated last year
• tchaton / pytorch2lightning
  ☆15Updated 3 years ago
• CHARM-Tx / linear_mem_attention_pytorch
  Unofficially Implements https://arxiv.org/abs/2112.05682 to get Linear Memory Cost on Attention for PyTorch
  ☆12Updated 3 years ago
• lucidrains / token-shift-gpt
  Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing
  ☆48Updated 3 years ago
• lucidrains / einops-exts
  Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️
  ☆54Updated 2 years ago
• HomebrewML / HomebrewNLP-torch
  A case study of efficient training of large language models using commodity hardware.
  ☆68Updated 2 years ago
• facebookresearch / grounding-inductive-biases
  reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"
  ☆17Updated 5 months ago
• eth-easl / fmengine
  Utilities for Training Very Large Models
  ☆58Updated 5 months ago
• r0mainK / outperformer
  Code for scaling Transformers
  ☆26Updated 4 years ago
• YeonwooSung / GLOM
  PyTorch implementation of GLOM
  ☆21Updated 2 years ago
• nestordemeure / flaxOptimizers
  A collection of optimizers, some arcane others well known, for Flax.
  ☆29Updated 3 years ago
• drisspg / transformer_nuggets
  A place to store reusable transformer components of my own creation or found on the interwebs
  ☆48Updated last week
• mryab / learning-at-home
  "Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts" (NeurIPS 2020), original PyTorch implemen…
  ☆54Updated 4 years ago
• lucidrains / kronecker-attention-pytorch
  Implementation of Kronecker Attention in Pytorch
  ☆18Updated 4 years ago
• ahennequ / pytorch-custom-mma
  ☆29Updated 2 years ago
• Zasder3 / open_clip_juwels
  An open source implementation of CLIP.
  ☆32Updated 2 years ago
• crowsonkb / dice-mc
  DiCE: The Infinitely Differentiable Monte-Carlo Estimator
  ☆31Updated last year
• ClashLuke / PerfTorch
  High performance pytorch modules
  ☆18Updated 2 years ago
• EleutherAI / equivariance
  A framework for implementing equivariant DL
  ☆10Updated 3 years ago
• lucidrains / mlp-gpt-jax
  A GPT, made only of MLPs, in Jax
  ☆57Updated 3 years ago
• teddykoker / learning-to-learn-jax
  JAX implementation of Learning to learn by gradient descent by gradient descent
  ☆27Updated 5 months ago
• lucidrains / autoregressive-linear-attention-cuda
  CUDA implementation of autoregressive linear attention, with all the latest research findings
  ☆44Updated last year
• yandex-research / moshpit-sgd
  "Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices", official implementation
  ☆29Updated last month
• fidelity / stoke
  A lightweight wrapper for PyTorch that provides a simple declarative API for context switching between devices, distributed modes, mixed-…
  ☆67Updated last year
• AranKomat / Metroplex
  ☆21Updated 2 years ago
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆47Updated last year
• lucidrains / local-attention-flax
  Local Attention - Flax module for Jax
  ☆20Updated 3 years ago
• labmlai / dashboard
  Experiments dashboard for LabML
  ☆17Updated 2 years ago
• irhum / hyena
  JAX/Flax implementation of the Hyena Hierarchy
  ☆34Updated last year
• ColinQiyangLi / AdaCat
  AdaCat
  ☆49Updated 2 years ago