| Name | Version | Summary | date |
| audiolm-superfeel |
2.1.7 |
AudioLM - Language Modeling Approach to Audio Generation from Google Research - Pytorch |
2024-05-04 12:58:19 |
| soundstorm-superfeel |
0.4.5 |
SoundStorm - Efficient Parallel Audio Generation from Google Deepmind, in Pytorch |
2024-05-04 10:33:55 |
| make-a-video-pytorch |
0.4.0 |
Make-A-Video - Pytorch |
2024-05-03 17:34:51 |
| x-unet |
0.4.0 |
X-Unet |
2024-05-03 17:22:28 |
| denoising-diffusion-pytorch |
2.0.0 |
Denoising Diffusion Probabilistic Models - Pytorch |
2024-05-03 16:35:32 |
| giskard |
2.12.0 |
The testing framework dedicated to ML models, from tabular to LLMs |
2024-05-03 10:23:37 |
| MEGABYTE-pytorch |
0.3.0 |
MEGABYTE - Pytorch |
2024-05-03 02:14:25 |
| vision-mamba |
0.0.5 |
Vision Mamba - Pytorch |
2024-04-30 03:28:27 |
| bitnet |
0.2.5 |
bitnet - Pytorch |
2024-04-28 04:23:26 |
| mh-moe |
0.0.2 |
Paper - Pytorch |
2024-04-27 00:01:23 |
| 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 |
| 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 |
| KesslerGame |
2.1.5 |
Asteroids game simulation environment for ML and AI applications |
2024-04-18 17:30:53 |
| swarms-cloud |
0.2.5 |
Swarms Cloud - Pytorch |
2024-04-16 21:55:28 |