Grace
GRACE - GRAdient ComprEssion for distributed deep learning
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Powersgd | 112 | 10 months ago | mit | Python | ||||||
| Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727 | ||||||||||
| Deep Gradient Compression | 106 | 3 years ago | 2 | other | Python | |||||
| [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training | ||||||||||
| Grace | 98 | 2 years ago | 2 | bsd-2-clause | Python | |||||
| GRACE - GRAdient ComprEssion for distributed deep learning | ||||||||||
| Microexr | 17 | 10 years ago | 1 | other | C++ | |||||
| A lightweight subset of the OpenEXR library. | ||||||||||
| Atomo | 12 | 5 years ago | 2 | Python | ||||||
| Atomo: Communication-efficient Learning via Atomic Sparsification | ||||||||||
| Hdr_tonemapping_fattal02 | 12 | 7 years ago | C++ | |||||||
| Fattal02 HDR Tone mapping operator. Gradient Domain High Dynamic Range Compression. | ||||||||||
| Deepgradientcompression | 11 | 5 years ago | 1 | Python | ||||||
| It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep gradient compression is a technique by which the gradients are compressed before they are being sent. This approach greatly reduces the communication bandwidth and thus improves multi node training. | ||||||||||
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Python
Deep Learning
Compression
Gradient