| ray-project/ray |
29,596 |
|
80 |
363 |
about 2 years ago |
95 |
December 04, 2023 |
3,528 |
apache-2.0 |
Python |
| Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. |
| optuna/optuna |
9,176 |
|
26 |
425 |
about 2 years ago |
59 |
October 17, 2023 |
88 |
other |
Python |
| A hyperparameter optimization framework |
| polyaxon/polyaxon |
3,438 |
|
4 |
12 |
about 2 years ago |
418 |
December 09, 2023 |
122 |
apache-2.0 |
|
| MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle |
| kan-bayashi/ParallelWaveGAN |
1,427 |
|
0 |
3 |
over 2 years ago |
40 |
November 13, 2023 |
34 |
mit |
Jupyter Notebook |
| Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch |
| Lyken17/Efficient-PyTorch |
769 |
|
0 |
0 |
almost 5 years ago |
0 |
|
6 |
|
Python |
| My best practice of training large dataset using PyTorch. |
| PatrickHua/SimSiam |
475 |
|
0 |
0 |
almost 5 years ago |
0 |
|
16 |
mit |
Python |
| A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning' |
| v-iashin/video_features |
397 |
|
0 |
0 |
about 2 years ago |
0 |
|
20 |
mit |
Python |
| Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features. |
| liusongxiang/StarGAN-Voice-Conversion |
258 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
|
Python |
| This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks |
| jia-zhuang/pytorch-multi-gpu-training |
170 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
|
Python |
| 整理 pytorch 单机多 GPU 训练方法与原理 |
| helmholtz-analytics/heat |
169 |
|
0 |
0 |
about 2 years ago |
27 |
December 22, 2025 |
150 |
mit |
Python |
| Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python |
