| Name | Version | Summary | date |
| mlx-e2-tts |
0.0.6 |
E2-TTS - MLX |
2024-10-08 03:18:05 |
| imagen-pytorch |
2.1.0 |
Imagen - unprecedented photorealism × deep level of language understanding |
2024-10-07 13:01:27 |
| robotic-transformer-pytorch |
0.2.3 |
Robotic Transformer - Pytorch |
2024-10-06 21:30:32 |
| 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 |
| multimodal-transformers |
0.4.0 |
Multimodal Extension Library for PyTorch HuggingFace Transformers |
2024-09-24 19:14:50 |
| tabular-transformer |
0.3.0 |
Transformer adapted for tabular data domain |
2024-09-24 03:22:23 |
| soundstorm-pytorch |
0.4.11 |
SoundStorm - Efficient Parallel Audio Generation from Google Deepmind, in Pytorch |
2024-09-15 01:36:07 |
| anyclassifier |
0.2.0 |
One Line To Build Any Classifier Without Data |
2024-08-19 10:17:27 |
| struct-ie |
0.0.2 |
A Python library for structured information extraction with LLMs. |
2024-08-13 16:46:22 |
| tokenize-text |
0.2.32 |
Tokenizing and processing text inputs with transformer models |
2024-08-11 21:53:24 |
| momentfm |
0.1.1 |
MOMENT: A Family of Open Time Series Foundation Models |
2024-08-09 02:39:19 |
| tokenize-transformer |
0.2.14 |
Tokenizing and processing text inputs with transformer models |
2024-08-01 18:39:29 |
| phenaki-pytorch |
0.5.0 |
Phenaki - Pytorch |
2024-07-29 20:32:56 |
| mim-nlp |
0.2.0 |
A Python package with ready-to-use models for various NLP tasks and text preprocessing utilities. The implementation allows fine-tuning. |
2024-07-25 11:29:32 |
| neurosis |
0.1.3 |
A neural network trainer (for weebs) |
2024-07-13 06:22:45 |
| textpredict |
0.1.3 |
TextPredict is a powerful Python package designed for various text analysis and prediction tasks using advanced NLP models. It simplifies the process of performing sentiment analysis, emotion detection, zero-shot classification, named entity recognition (NER), and more. |
2024-07-10 16:32:04 |
| simpleclipsegmentation |
1.0.1 |
Semantic segmentation with CLIP |
2024-07-10 13:45:29 |
| fastopic |
0.0.5 |
FASTopic |
2024-07-10 00:38:55 |
| sentimentpredictor |
0.1.3 |
A flexible sentiment analysis predictor package supporting multiple pre-trained models, customizable preprocessing, visualization tools, fine-tuning capabilities, and seamless integration with pandas DataFrames. |
2024-07-04 23:08:45 |