| Name | Version | Summary | date |
| oscb |
1.0.0 |
oscb |
2024-04-24 14:46:30 |
| fbgemm-gpu-nightly |
2024.4.24 |
None |
2024-04-24 13:55:59 |
| fbgemm-gpu-nightly-cpu |
2024.4.24 |
None |
2024-04-24 13:25:51 |
| torchserve-nightly |
2024.4.24 |
TorchServe is a tool for serving neural net models for inference |
2024-04-24 11:35:18 |
| torchx-nightly |
2024.4.24 |
TorchX SDK and Components |
2024-04-24 11:26:41 |
| 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 |
| torcheval-nightly |
2024.4.22 |
A library for providing a simple interface to create new metrics and an easy-to-use toolkit for metric computations and checkpointing. |
2024-04-22 12:08:47 |
| tad-mctc |
0.1.4 |
Torch Autodiff Utility |
2024-04-22 07:22:42 |
| vtuna |
0.1.0 |
A library for tuning adapters for visual generation models |
2024-04-21 06:21:56 |
| utrc |
0.0.13 |
util torch |
2024-04-19 21:53:52 |
| keras-vision |
0.3 |
Building Vision models in Keras3 for framework agnostic training and inference. |
2024-04-19 21:12:04 |
| torch-afem |
0.0.1 |
PyTorch Finite Element Method |
2024-04-19 18:53:12 |
| tilearn-llm |
0.8.7 |
TILEARN for LLM |
2024-04-19 02:35:24 |
| fairness-datasets |
0.4.0 |
PyTorch dataset wrapper for the |
2024-04-18 21:31:52 |