| Name | Version | Summary | date |
| meshgpt-pytorch |
1.5.16 |
MeshGPT Pytorch |
2024-10-06 20:41:58 |
| e2-tts-pytorch |
1.1.0 |
E2-TTS in Pytorch |
2024-10-06 19:47:36 |
| mlx-e2-tts |
0.0.1 |
E2-TTS - MLX |
2024-10-06 19:09:48 |
| x-transformers |
1.37.9 |
X-Transformers - Pytorch |
2024-10-06 17:52:48 |
| llama-jarvis |
0.1.0 |
Train a speech-to-speech model using your own language model |
2024-10-06 17:51:56 |
| RAGFlowChain |
0.5.1 |
A comprehensive toolkit for building Retrieval-Augmented Generation (RAG) pipelines, including data loading, vector database creation, retrieval, and chain management. |
2024-10-04 18:17:07 |
| transfusion-pytorch |
0.1.6 |
Transfusion in Pytorch |
2024-10-01 18:33:18 |
| swarms |
5.6.8 |
Swarms - Pytorch |
2024-10-01 17:52:03 |
| vocos-mlx |
0.0.5 |
Vocos - MLX |
2024-09-30 21:35:50 |
| openllm |
0.6.11 |
OpenLLM: Self-hosting LLMs Made Easy. |
2024-09-30 11:12:39 |
| ecko-cli |
1.3.0 |
CLI tool that easily converts a directory of images into a dataset for training generative ai models |
2024-09-30 06:43:05 |
| autoregressive-diffusion-pytorch |
0.2.7 |
Autoregressive Diffusion - Pytorch |
2024-09-26 18:18:29 |
| gptqmodel |
1.0.6 |
A LLM quantization package with user-friendly apis. Based on GPTQ algorithm. |
2024-09-26 16:01:07 |
| llmcompressor-nightly |
0.2.0.20240926 |
A library for compressing large language models utilizing the latest techniques and research in the field for both training aware and post training techniques. The library is designed to be flexible and easy to use on top of PyTorch and HuggingFace Transformers, allowing for quick experimentation. |
2024-09-26 03:25:01 |
| multimodal-transformers |
0.4.0 |
Multimodal Extension Library for PyTorch HuggingFace Transformers |
2024-09-24 19:14:50 |
| trl |
0.11.1 |
Train transformer language models with reinforcement learning. |
2024-09-24 17:01:16 |
| tabular-transformer |
0.3.0 |
Transformer adapted for tabular data domain |
2024-09-24 03:22:23 |
| llmcompressor |
0.2.0 |
A library for compressing large language models utilizing the latest techniques and research in the field for both training aware and post training techniques. The library is designed to be flexible and easy to use on top of PyTorch and HuggingFace Transformers, allowing for quick experimentation. |
2024-09-23 21:34:25 |
| gliner |
0.2.13 |
Generalist model for NER (Extract any entity types from texts) |
2024-09-21 04:16:51 |
| nncf |
2.13.0 |
Neural Networks Compression Framework |
2024-09-19 10:25:02 |