Alternatives and similar repositories for layer-to-layer-pytorch

Users that are interested in layer-to-layer-pytorch are comparing it to the libraries listed below

• utsaslab / MONeT
  MONeT framework for reducing memory consumption of DNN training
  ☆174Updated 4 years ago
• cybertronai / imagenet18
  Train ImageNet in 18 minutes on AWS
  ☆133Updated last year
• MathInf / toroidal
  a lightweight transformer library for PyTorch
  ☆72Updated 3 years ago
• adityaiitb / pyprof2
  PyProf2: PyTorch Profiling tool
  ☆82Updated 5 years ago
• zhuchen03 / gradinit
  Learning to Initialize Neural Networks for Stable and Efficient Training
  ☆139Updated 3 years ago
• pytorch / nestedtensor
  [Prototype] Tools for the concurrent manipulation of variably sized Tensors.
  ☆251Updated 2 years ago
• DeMoriarty / custom_matmul_kernels
  Customized matrix multiplication kernels
  ☆56Updated 3 years ago
• lmnt-com / graftr
  graftr: an interactive shell to view and edit PyTorch checkpoints.
  ☆113Updated 4 years ago
• fidelity / stoke
  A lightweight wrapper for PyTorch that provides a simple declarative API for context switching between devices, distributed modes, mixed-…
  ☆67Updated 2 years ago
• lucidrains / feedback-transformer-pytorch
  Implementation of Feedback Transformer in Pytorch
  ☆107Updated 4 years ago
• pytorch / torchdistx
  Torch Distributed Experimental
  ☆117Updated last year
• facebookresearch / diffq
  DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight …
  ☆236Updated 2 years ago
• yandex-research / DeDLOC
  Official code for "Distributed Deep Learning in Open Collaborations" (NeurIPS 2021)
  ☆117Updated 3 years ago
• NVlabs / tensorcom
  ☆109Updated 4 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆85Updated 3 years ago
• mit-han-lab / neurips-micronet
  [JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion
  ☆40Updated 4 years ago
• lucidrains / triton-transformer
  Implementation of a Transformer, but completely in Triton
  ☆274Updated 3 years ago
• sIncerass / powernorm
  [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845
  ☆120Updated 4 years ago
• rwightman / efficientnet-jax
  EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax
  ☆128Updated last year
• skolai / fewbit
  Compression schema for gradients of activations in backward pass
  ☆44Updated 2 years ago
• digantamisra98 / EvoNorm
  Unofficial PyTorch Implementation of EvoNorm
  ☆122Updated 4 years ago
• microsoft / infinibatch
  Efficient, check-pointed data loading for deep learning with massive data sets.
  ☆209Updated 2 years ago
• hongyi-zhang / Fixup
  A Re-implementation of Fixed-update Initialization
  ☆155Updated 6 years ago
• ptillet / torch-blocksparse
  Block-sparse primitives for PyTorch
  ☆160Updated 4 years ago
• Enealor / PyTorch-SM3
  Implements the SM3-II adaptive optimization algorithm for PyTorch.
  ☆33Updated last year
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 6 years ago
• pytorch-tpu / examples
  This repository contains example code to build models on TPUs
  ☆30Updated 2 years ago
• szymonmaszke / torchdatasets
  PyTorch dataset extended with map, cache etc. (tensorflow.data like)
  ☆329Updated 3 years ago
• lf1-io / padl
  Functional deep learning
  ☆108Updated 2 years ago
• PetrochukM / HParams
  Configure Python functions explicitly and safely
  ☆127Updated 9 months ago