| Name | Version | Summary | date |
| fbgemm-gpu-nightly |
2024.9.13 |
None |
2024-09-13 13:54:05 |
| fbgemm-gpu-nightly-genai |
2024.9.13 |
None |
2024-09-13 13:28:18 |
| fbgemm-gpu-nightly-cpu |
2024.9.13 |
None |
2024-09-13 13:27:57 |
| torchserve-nightly |
2024.9.13 |
TorchServe is a tool for serving neural net models for inference |
2024-09-13 11:45:48 |
| torchx-nightly |
2024.9.13 |
TorchX SDK and Components |
2024-09-13 11:27:56 |
| torchlure |
0.2409.1 |
None |
2024-09-13 07:33:23 |
| relik |
1.0.7 |
Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget |
2024-09-12 10:24:19 |
| huggingface-hub |
0.24.7 |
Client library to download and publish models, datasets and other repos on the huggingface.co hub |
2024-09-12 08:58:24 |
| mindstudio-probe |
1.0.4 |
Pytorch Ascend Probe Utils |
2024-09-12 02:26:07 |
| moduleprofiler |
0.0.2 |
Module profiler |
2024-09-11 21:00:49 |
| bitlinear-pytorch |
0.5.0 |
Implementation of the BitLinear layer from: The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits |
2024-09-11 15:26:31 |
| torch-tb-profiler-ascend |
0.4.0.10 |
PyTorch Ascend Profiler TensorBoard Plugin |
2024-09-11 08:34:08 |
| tilearn-llm |
0.9.16.3 |
TILEARN for LLM |
2024-09-11 07:36:01 |
| pytorch_optimizer |
3.1.2 |
optimizer & lr scheduler & objective function collections in PyTorch |
2024-09-10 10:58:58 |
| DLStudio |
2.5.0 |
A PyTorch based software platform for teaching the Deep Learning class at Purdue University |
2024-09-07 18:09:05 |
| pytorch-datastream |
0.4.12 |
Simple dataset to dataloader library for pytorch |
2024-09-06 15:33:42 |
| pytorchcv |
0.0.71 |
Computer vision models for PyTorch |
2024-09-06 09:36:22 |
| mlip_arena |
0.0.1a0 |
None |
2024-09-06 04:41:35 |
| torch |
2.4.1 |
Tensors and Dynamic neural networks in Python with strong GPU acceleration |
2024-09-04 19:13:47 |
| unitorch |
0.0.0.18 |
unitorch provides efficient implementation of popular unified NLU / NLG / CV / CTR / MM / RL models with PyTorch. |
2024-09-04 17:51:27 |