| Name | Version | Summary | date |
| ViLLa-X |
0.0.5 |
ViLLa-X |
2025-08-27 13:32:21 |
| advanced_research |
0.2.0 |
Advanced Multi-Agent Research System - Enhanced implementation of Anthropic's orchestrator-worker pattern with 90.2% performance improvement over single-agent systems |
2025-08-23 17:16:07 |
| gradnorm-pytorch |
0.2.1 |
GradNorm - Pytorch |
2025-08-23 01:35:32 |
| swarms |
8.1.2 |
Swarms - TGSC |
2025-08-22 17:15:36 |
| gtpyhop |
1.3.0 |
A Goal-Task-Network planning package written in Python |
2025-08-22 16:42:00 |
| multihead-latent-attention |
0.1.0 |
Multi-head Latent Attention (MLA) - PyTorch |
2025-08-22 00:59:26 |
| amplify-pytorch |
0.0.5 |
Amplify |
2025-08-18 20:39:00 |
| giskard |
2.18.0 |
The testing framework dedicated to ML models, from tabular to LLMs |
2025-08-18 08:28:17 |
| vit-pytorch |
1.11.7 |
Vision Transformer (ViT) - Pytorch |
2025-08-18 01:08:21 |
| BS-RoFormer |
0.9.2 |
BS-RoFormer - Band-Split Rotary Transformer for SOTA Music Source Separation |
2025-08-17 21:34:35 |
| SRT-H |
0.0.10 |
SRT-H |
2025-08-17 17:16:20 |
| questions-gen |
0.1.1 |
AI-Powered Mathematical Competition Problem Generation Package |
2025-08-17 13:24:55 |
| symurbench |
1.0.0 |
SyMuRBench: Benchmark for symbolic music representations |
2025-08-15 16:52:26 |
| native-sparse-attention-pytorch |
0.2.3 |
Native Sparse Attention |
2025-08-15 14:52:10 |
| h-net-dynamic-chunking |
0.3.0 |
H-Net Dynamic Chunking Modules |
2025-08-15 14:32:08 |
| l3ac |
1.0 |
L3AC: A nerual audio codec with one quantizer |
2025-08-15 12:24:49 |
| rewind-reward-pytorch |
0.0.25 |
Rewind Reward |
2025-08-15 00:27:41 |
| tabm |
0.0.3 |
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling (ICLR 2025). |
2025-08-14 16:14:13 |
| splifft |
0.0.3 |
Lightweight utilities for music source separation. |
2025-08-14 09:36:51 |
| chuchichaestli |
0.2.14 |
Where you find all the state-of-the-art cooking utensils (salt, pepper, gradient descent... the usual). |
2025-08-14 07:54:22 |