Name | Version | Summary | date |
fbgemm-gpu-nightly |
2024.4.26 |
None |
2024-04-26 14:14:27 |
fbgemm-gpu-nightly-cpu |
2024.4.26 |
None |
2024-04-26 13:23:30 |
torcheval-nightly |
2024.4.26 |
A library for providing a simple interface to create new metrics and an easy-to-use toolkit for metric computations and checkpointing. |
2024-04-26 12:09:12 |
torchserve-nightly |
2024.4.26 |
TorchServe is a tool for serving neural net models for inference |
2024-04-26 11:37:00 |
torchx-nightly |
2024.4.26 |
TorchX SDK and Components |
2024-04-26 11:26:00 |
torchoutil |
0.3.1 |
Collection of functions and modules to help development in PyTorch. |
2024-04-25 15:01:35 |
adapters |
0.2.0 |
A Unified Library for Parameter-Efficient and Modular Transfer Learning |
2024-04-25 13:48:01 |
torch-lure |
0.1.1 |
None |
2024-04-25 08:22:40 |
torch-model-manager |
0.0.6 |
A package for managing PyTorch models |
2024-04-25 07:22:26 |
fbgemm-gpu |
0.7.0 |
None |
2024-04-25 01:41:35 |
torch |
2.3.0 |
Tensors and Dynamic neural networks in Python with strong GPU acceleration |
2024-04-24 15:44:27 |
oscb |
1.0.0 |
oscb |
2024-04-24 14:46:30 |
transformers |
4.40.1 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2024-04-23 22:01:15 |
torch-cfd |
0.0.2 |
PyTorch CFD |
2024-04-23 16:11:09 |
dmlcloud |
0.3.3 |
Distributed torch training using horovod and slurm |
2024-04-23 12:37:55 |
torch-trandsforms |
0.3.6 |
A pytorch-first transform library for ND data, such as multi-channel 3D volumes |
2024-04-23 09:28:23 |
tensorneko-lib |
0.3.13 |
None |
2024-04-23 07:49:08 |
intel-ai-safety |
0.0.0 |
Explainable AI Tooling (XAI). XAI is used to discover and explain a model's prediction in a way that is interpretable to the user. Relevant information in the dataset, featureset, and model's algorithms are exposed. |
2024-04-23 02:52:49 |
torchrec |
0.7.0 |
Pytorch domain library for recommendation systems |
2024-04-22 21:44:29 |
tad-mctc |
0.1.4 |
Torch Autodiff Utility |
2024-04-22 07:22:42 |