| Name | Version | Summary | date |
| zhijian |
0.0.3 |
ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse |
2023-08-27 10:09:20 |
| torcheval |
0.0.7 |
A library for providing a simple interface to create new metrics and an easy-to-use toolkit for metric computations and checkpointing. |
2023-08-24 22:12:44 |
| nm-transformers |
1.5.1.42301 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2023-08-23 01:27:39 |
| hierarchicalsoftmax |
1.0.2 |
A Hierarchical Softmax Framework for PyTorch. |
2023-08-22 12:32:58 |
| tridentx |
0.7.8 |
Make pytorch and tensorflow two become one. |
2023-08-22 08:53:05 |
| ncg-optimizer |
0.1.1 |
PyTorch optimizer based on nonlinear conjugate gradient method |
2023-08-21 14:19:36 |
| nerblackbox |
1.0.0 |
a high-level library for named entity recognition in python |
2023-08-20 16:54:48 |
| torchrec-nightly |
2023.8.20 |
Pytorch domain library for recommendation systems |
2023-08-20 11:25:42 |
| tensorshare |
0.1.1 |
🤝 Trade any tensors over the network |
2023-08-20 11:06:38 |
| diffusersplus |
0.0.1 |
diffusersplus: A collection of pipelines for Stable Diffusion and ControlNet models. |
2023-08-19 12:11:18 |
| torch-spatiotemporal |
0.9.4 |
A PyTorch library for spatiotemporal data processing |
2023-08-18 12:14:11 |
| nodify-plugin |
0.1.5 |
Nodify Tensorboard Plugin. |
2023-08-18 00:38:14 |
| together-worker |
0.1.22 |
|
2023-08-17 04:29:12 |
| eco4cast |
0.0.8 |
This package is designed to reduce CO2 emissions while training neural networks using Google Cloud. |
2023-08-16 05:59:47 |
| miniminiai |
0.0.5 |
A mini version of fastai's miniai |
2023-08-15 18:30:42 |
| torchpq |
0.3.0.6 |
Efficient implementations of Product Quantization and its variants |
2023-08-13 10:30:40 |
| glmtuner |
0.1.5 |
Fine-tuning ChatGLM-6B with PEFT |
2023-08-12 13:40:37 |
| tilearn.llm |
0.4.1 |
TILEARN for LLM |
2023-08-11 08:53:16 |
| kaparoo-lightning |
0.1.7 |
A Python package for (personally) common and useful features for PyTorch Lightning. |
2023-08-10 08:13:06 |
| pytorch-benchmark |
0.3.6 |
Easily benchmark PyTorch model FLOPs, latency, throughput, max allocated memory and energy consumption in one go. |
2023-08-10 07:04:47 |