| Name | Version | Summary | date |
| mh-moe |
0.0.2 |
Paper - Pytorch |
2024-04-27 00:01:23 |
| x-transformers |
1.27.22 |
X-Transformers - Pytorch |
2024-04-26 20:44:14 |
| mm1-torch |
0.0.6 |
MM1 - Pytorch |
2024-04-26 16:17:01 |
| s5-pytorch |
0.2.1 |
S5 - Simplified State Space Layers for Sequence Modeling - Pytorch |
2024-04-26 09:39:13 |
| miditok |
3.0.3 |
MIDI / symbolic music tokenizers for Deep Learning models. |
2024-04-25 12:51:01 |
| soft-moe-pytorch |
0.1.8 |
Soft MoE - Pytorch |
2024-04-24 15:24:31 |
| deformable-attention |
0.0.19 |
Deformable Attention - from the paper "Vision Transformer with Deformable Attention" |
2024-04-23 23:45:52 |
| continuiti |
0.1.0 |
Learning function operators with neural networks. |
2024-04-23 09:15:55 |
| swarms |
4.8.7 |
Swarms - Pytorch |
2024-04-23 00:54:47 |
| BS-RoFormer |
0.4.1 |
BS-RoFormer - Band-Split Rotary Transformer for SOTA Music Source Separation |
2024-04-21 16:44:28 |
| ring-attention-pytorch |
0.4.1 |
Ring Attention - Pytorch |
2024-04-20 15:25:57 |
| giskard |
2.11.0 |
The testing framework dedicated to ML models, from tabular to LLMs |
2024-04-19 15:53:14 |
| KesslerGame |
2.1.5 |
Asteroids game simulation environment for ML and AI applications |
2024-04-18 17:30:53 |
| vit-pytorch |
1.6.7 |
Vision Transformer (ViT) - Pytorch |
2024-04-18 16:45:18 |
| swarms-cloud |
0.2.5 |
Swarms Cloud - Pytorch |
2024-04-16 21:55:28 |
| vector-quantize-pytorch |
1.14.7 |
Vector Quantization - Pytorch |
2024-04-16 03:53:46 |
| reka-torch |
0.0.2 |
Reka Torch - Pytorch |
2024-04-16 01:07:46 |
| infini-torch |
0.0.1 |
infini - Pytorch |
2024-04-15 00:39:41 |
| denoising-diffusion-pytorch |
1.11.1 |
Denoising Diffusion Probabilistic Models - Pytorch |
2024-04-13 23:02:11 |
| brave-torch |
4.7.9 |
Swarms - Pytorch |
2024-04-13 03:31:07 |