Name | Version | Summary | date |
x-transformers |
2.5.3 |
X-Transformers |
2025-07-27 19:51:17 |
TRI-LBM |
0.0.6 |
Large Behavioral Model from Toyota Research |
2025-07-27 15:41:42 |
x-transformers-rl |
0.0.95 |
X-Transformer for RL |
2025-07-26 15:13:55 |
aikitx |
1.0.0 |
A comprehensive GUI toolkit for Large Language Models (LLMs) with GGUF support, document processing, email automation, and multi-backend inference |
2025-07-25 19:44:31 |
pi-zero-pytorch |
0.2.5 |
π0 in Pytorch |
2025-07-25 17:56:47 |
pingala-shunya |
0.1.5 |
Speech transcription package by Shunya Labs with ct2 and transformers backends |
2025-07-25 12:21:46 |
lcvtoolbox |
1.0.7 |
Computer vision toolbox for road infrastructure analysis |
2025-07-24 10:35:15 |
alphagenome-pytorch |
0.1.0 |
AlphaGenome |
2025-07-24 03:38:42 |
chem-mrl |
0.7.1 |
SMILES-based Matryoshka Representation Learning Embedding Model |
2025-07-24 01:48:34 |
peft-singlora |
0.2.0 |
SingLoRA: Single Low-Rank Adaptation for PEFT |
2025-07-23 01:38:42 |
pepe-cli |
1.0.5 |
Pipeline for Easy Protein Embedding - Extract embeddings and attention matrices from protein sequences |
2025-07-21 13:29:32 |
tonepilot |
0.2.4 |
Emotional intelligence for text generation - detect emotional tones and generate contextually appropriate responses |
2025-07-21 05:02:17 |
local-conjurer |
0.3.2 |
None |
2025-07-20 13:15:47 |
swarms |
8.0.0 |
Swarms - TGSC |
2025-07-18 22:14:04 |
metisos-arc-core |
1.2.8 |
Adaptive Recursive Consciousness (ARC) Core - A framework for continual learning AI systems |
2025-07-18 15:06:28 |
entanglement-enhanced-nlp |
2.0.0 |
Quantum entanglement-inspired Natural Language Processing framework |
2025-07-16 04:29:41 |
adaptive-trainer |
0.0.5 |
A Hugging Face Trainer extension for adaptive loss and ideas learning. |
2025-07-15 15:45:01 |
realtabformer |
0.2.3 |
A novel method for generating tabular and relational data using language models. |
2025-07-14 16:38:30 |
BS-RoFormer |
0.8.0 |
BS-RoFormer - Band-Split Rotary Transformer for SOTA Music Source Separation |
2025-07-14 16:15:40 |
esperanto |
2.3.4 |
A light-weight, production-ready, unified interface for various AI model providers |
2025-07-14 10:29:07 |