| Name | Version | Summary | date |
| vector-quantize-pytorch |
1.14.22 |
Vector Quantization - Pytorch |
2024-05-09 17:23:56 |
| PytorchWildlife |
1.0.2.14 |
a PyTorch Collaborative Deep Learning Framework for Conservation. |
2024-05-08 22:03:42 |
| triton-model-navigator |
0.9.0 |
Triton Model Navigator: An inference toolkit for optimizing and deploying machine learning models and pipelines on the Triton Inference Server and PyTriton. |
2024-05-07 21:51:54 |
| upc-pymotion |
0.1.8 |
A Python library for working with motion data in NumPy or PyTorch. |
2024-05-07 13:59:02 |
| pytorch-volumetric |
0.5.2 |
Volumetric structures such as voxels and SDFs implemented in pytorch |
2024-05-06 22:56:14 |
| torchcvnn |
0.5.0 |
torchcvnn provides complex valued layers to be used with pytorch |
2024-05-06 19:13:28 |
| torch-kf |
0.0.4 |
Kalman Filter implementation with PyTorch |
2024-05-06 16:54:54 |
| finetuning-scheduler |
2.2.4 |
A PyTorch Lightning extension that enhances model experimentation with flexible fine-tuning schedules. |
2024-05-04 22:56:07 |
| omnisafe |
0.5.0 |
A comprehensive and reliable benchmark for safe reinforcement learning. |
2024-05-04 08:42:45 |
| mvector |
1.0.4 |
Voice Print Recognition toolkit on Pytorch |
2024-05-04 05:15:17 |
| bytetracker-gml |
0.3.2 |
Packaged version of the ByteTrack repository |
2024-05-03 23:32:26 |
| coola |
0.6.1 |
A library to check if two complex/nested objects are equal or not |
2024-05-03 18:19:19 |
| AudioAugmentor |
0.1.0 |
Python package for simple application of wide range of audio augmentations. |
2024-05-03 18:05:14 |
| torchaug |
0.5.0 |
Torchvision Complementary tool to perform batch and GPU data augmentations. |
2024-05-03 15:08:50 |
| macls |
0.4.5 |
Audio Classification toolkit on Pytorch |
2024-05-03 14:25:35 |
| diffsptk |
2.0.1 |
Speech signal processing modules for machine learning |
2024-05-03 11:24:28 |
| lightning-habana |
1.5.0 |
Lightning support for Intel Habana accelerators |
2024-05-03 08:20:25 |
| analogvnn |
1.0.8 |
A fully modular framework for modeling and optimizing analog/photonic neural networks |
2024-05-02 23:30:10 |
| PySCIPOpt-ML |
1.1.1 |
automatically formulate and embed ML models into MIPs with SCIP |
2024-05-02 10:04:11 |
| datadreamer.dev |
0.35.0 |
Prompt. Generate Synthetic Data. Train & Align Models. |
2024-05-02 05:36:30 |