| Name | Version | Summary | date |
| str2speech |
0.1.4 |
A powerful, Transformer-based text-to-speech (TTS) tool. |
2025-02-27 00:09:28 |
| my-transformers |
4.5.1 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2025-02-26 10:40:18 |
| pybiber |
0.1.1 |
Extract Biber features from a document parsed and annotated by spaCy. |
2025-02-21 20:59:17 |
| seqio-nightly |
0.0.18.dev20250221 |
SeqIO: Task-based datasets, preprocessing, and evaluation for sequence models. |
2025-02-21 07:02:22 |
| nlp2 |
1.9.4 |
Tool for NLP - handle file and text |
2025-02-16 15:43:36 |
| trill-proteins |
1.8.6 |
Sandbox for Computational Protein Design |
2025-02-14 23:41:05 |
| classla |
2.2 |
Adapted Stanford NLP Python Library with improvements for specific languages. |
2025-02-13 14:11:49 |
| chronowords |
0.1.1 |
None |
2025-02-12 14:01:45 |
| embdiv |
0.0.9 |
Library for dividing the Embedding layer of the LLM. |
2025-02-12 09:43:28 |
| txtai.py |
8.3.0 |
Python client for txtai |
2025-02-11 19:50:43 |
| sencore |
0.1.50 |
sentence nlp parser for multilingua |
2025-02-10 04:20:32 |
| nephased |
0.0.31 |
A BERT-based text sentiment classification pipeline for Nepali |
2025-02-09 16:56:41 |
| causalnlp |
0.8.1 |
CausalNLP: A Practical Toolkit for Causal Inference with Text |
2025-02-06 19:19:59 |
| hist-w2v |
0.1.4 |
Tools for downloading, processing, and training word2vec models on Google Ngrams |
2025-02-05 16:37:18 |
| unstructured-inference |
0.8.7 |
A library for performing inference using trained models. |
2025-02-03 19:41:02 |
| zirak |
0.0.1 |
Empowering Machines with Pashto |
2025-02-01 11:27:01 |
| nlpashto |
0.0.25 |
Pashto Natural Language Processing Toolkit |
2025-02-01 11:17:44 |
| adapters |
1.1.0 |
A Unified Library for Parameter-Efficient and Modular Transfer Learning |
2025-01-28 20:26:26 |
| mtap |
1.5.0 |
A framework for distributed text analysis using gRPC and microservices-based architecture. |
2025-01-28 18:55:27 |
| staticvectors |
0.1.0 |
Work with static vector models |
2025-01-23 21:06:25 |