A GPipe implementation in PyTorch
☆863Jul 25, 2024Updated last year
Alternatives and similar repositories for torchgpipe
Users that are interested in torchgpipe are comparing it to the libraries listed below
Sorting:
- ☆392Nov 4, 2022Updated 3 years ago
- PyTorch extensions for high performance and large scale training.☆3,400Apr 26, 2025Updated 10 months ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,612Jun 16, 2021Updated 4 years ago
- PyTorch layer-by-layer model profiler☆606May 23, 2021Updated 4 years ago
- Profiling and inspecting memory in pytorch☆1,078Sep 5, 2025Updated 6 months ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,926Feb 24, 2026Updated last week
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,627Mar 25, 2022Updated 3 years ago
- PyTorch DataLoader processed in multiple remote computation machines for heavy data processings☆68Oct 26, 2019Updated 6 years ago
- Library for faster pinned CPU <-> GPU transfer in Pytorch☆683Feb 21, 2020Updated 6 years ago
- Slicing a PyTorch Tensor Into Parallel Shards☆300Jun 7, 2025Updated 8 months ago
- Pipeline Parallelism for PyTorch☆786Aug 21, 2024Updated last year
- PyTorch elastic training☆728Jun 15, 2022Updated 3 years ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,549Jul 31, 2021Updated 4 years ago
- Fast, general, and tested differentiable structured prediction in PyTorch☆1,123Apr 20, 2022Updated 3 years ago
- A GPU performance profiling tool for PyTorch models☆510Jul 13, 2021Updated 4 years ago
- PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"☆2,728Jul 6, 2023Updated 2 years ago
- torchbearer: A model fitting library for PyTorch☆641Dec 4, 2023Updated 2 years ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,749Updated this week
- A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep lear…☆5,637Updated this week
- ☆251Jul 25, 2024Updated last year
- Enabling PyTorch on XLA Devices (e.g. Google TPU)☆2,755Dec 18, 2025Updated 2 months ago
- A LARS implementation in PyTorch☆353Feb 21, 2020Updated 6 years ago
- Transformer training code for sequential tasks☆609Sep 14, 2021Updated 4 years ago
- Mesh TensorFlow: Model Parallelism Made Easier☆1,625Nov 17, 2023Updated 2 years ago
- AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)☆415Jan 13, 2021Updated 5 years ago
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,675Dec 1, 2025Updated 3 months ago
- Implementations of ideas from recent papers☆391Dec 22, 2020Updated 5 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆510Jan 20, 2020Updated 6 years ago
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,863Updated this week
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,075Apr 17, 2024Updated last year
- Bayesian optimization in PyTorch☆3,470Feb 27, 2026Updated last week
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆75Dec 11, 2020Updated 5 years ago
- Codebase for Image Classification Research, written in PyTorch.☆2,167Mar 20, 2024Updated last year
- A specially designed light version of Fast AutoAugment☆170May 12, 2020Updated 5 years ago
- Torch Distributed Experimental☆117Aug 5, 2024Updated last year
- Efficient GPU kernels for block-sparse matrix multiplication and convolution☆1,063Jun 8, 2023Updated 2 years ago
- Efficient Data Loading Pipeline in Pure Python☆213Aug 19, 2020Updated 5 years ago
- ☆78May 4, 2021Updated 4 years ago
- Count the MACs / FLOPs of your PyTorch model.☆5,082Jul 8, 2024Updated last year