TezRomacH / layer-to-layer-pytorch
PyTorch implementation of L2L execution algorithm
☆107Updated 2 years ago
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
Sorting:
- MONeT framework for reducing memory consumption of DNN training☆173Updated 4 years ago
- Train ImageNet in 18 minutes on AWS☆129Updated last year
- Customized matrix multiplication kernels☆54Updated 3 years ago
- PyProf2: PyTorch Profiling tool☆82Updated 4 years ago
- Torch Distributed Experimental☆115Updated 9 months ago
- a lightweight transformer library for PyTorch☆71Updated 3 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆78Updated 4 years ago
- Block-sparse primitives for PyTorch☆155Updated 4 years ago
- Official code for "Distributed Deep Learning in Open Collaborations" (NeurIPS 2021)☆116Updated 3 years ago
- Learning to Initialize Neural Networks for Stable and Efficient Training☆139Updated 2 years ago
- Research and development for optimizing transformers☆126Updated 4 years ago
- Training neural networks in TensorFlow 2.0 with 5x less memory☆131Updated 3 years ago
- Implementation of a Transformer, but completely in Triton☆265Updated 3 years ago
- Slicing a PyTorch Tensor Into Parallel Shards☆298Updated 3 years ago
- Compression schema for gradients of activations in backward pass☆44Updated last year
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆86Updated 4 years ago
- Fast Block Sparse Matrices for Pytorch☆545Updated 4 years ago
- graftr: an interactive shell to view and edit PyTorch checkpoints.☆113Updated 4 years ago
- ☆144Updated 2 years ago
- ☆109Updated 4 years ago
- Unofficial PyTorch Implementation of EvoNorm☆121Updated 3 years ago
- This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as …☆194Updated 2 years ago
- Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …☆65Updated 3 years ago
- [JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion☆40Updated 4 years ago
- Programmable Neural Network Compression☆148Updated 2 years ago
- A Re-implementation of Fixed-update Initialization☆153Updated 5 years ago
- Code for scaling Transformers☆26Updated 4 years ago
- Efficient, check-pointed data loading for deep learning with massive data sets.☆207Updated last year
- This repository contains the results and code for the MLPerf™ Training v0.7 benchmark.☆56Updated last year
- Official Pytorch Implementation of Length-Adaptive Transformer (ACL 2021)☆101Updated 4 years ago