jianweif / OptimalGradCheckpointingLinks
☆41Updated 4 years ago
Alternatives and similar repositories for OptimalGradCheckpointing
Users that are interested in OptimalGradCheckpointing are comparing it to the libraries listed below
Sorting:
- ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training☆200Updated 2 years ago
- Code for ICML 2021 submission☆34Updated 4 years ago
- pytorch-profiler☆51Updated 2 years ago
- code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"☆29Updated 4 years ago
- Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616☆132Updated 2 years ago
- ☆159Updated last year
- Training neural networks in TensorFlow 2.0 with 5x less memory☆132Updated 3 years ago
- ☆10Updated 3 years ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 4 years ago
- ☆43Updated last year
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆55Updated 5 years ago
- ☆238Updated 2 years ago
- ☆210Updated 2 years ago
- Distributed DataLoader For Pytorch Based On Ray☆24Updated 3 years ago
- [JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion☆40Updated 4 years ago
- AlphaNet Improved Training of Supernet with Alpha-Divergence☆99Updated 4 years ago
- ☆42Updated 2 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- [ICLR 2021] CompOFA: Compound Once-For-All Networks For Faster Multi-Platform Deployment☆24Updated 2 years ago
- code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"☆105Updated 3 years ago
- ☆110Updated last year
- All about acceleration and compression of Deep Neural Networks☆33Updated 5 years ago
- Accuracy 77%. Large batch deep learning optimizer LARS for ImageNet with PyTorch and ResNet, using Horovod for distribution. Optional acc…☆38Updated 4 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆31Updated last year
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆147Updated 9 months ago
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆201Updated 3 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
- Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer☆110Updated 2 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 2 years ago