| Name | Version | Summary | date |
|---|---|---|---|
| MEGABYTE-pytorch | 0.3.6 | MEGABYTE - Pytorch | 2024-12-27 16:36:20 |
| mmdit | 0.2.1 | MMDiT | 2024-12-27 15:25:09 |
| iTransformer | 0.8.0 | iTransformer - Inverted Transformer Are Effective for Time Series Forecasting | 2024-12-26 19:03:01 |
| Lossless-BS-RoFormer | 1.0.0 | Lossless BS-RoFormer - Band-Split Rotary Transformer for SOTA Music Source Separation | 2024-12-26 17:35:04 |
| equiformer-pytorch | 0.5.4 | Equiformer - SE3/E3 Graph Attention Transformer for Molecules and Proteins | 2024-11-17 14:18:04 |
| maskbit-pytorch | 0.0.2 | MaskBit | 2024-11-12 19:18:27 |
| lvsm-pytorch | 0.1.2 | LVSM - Pytorch | 2024-11-09 17:18:45 |
| spline-based-transformer | 0.0.14 | Spline Based Transformer | 2024-11-09 00:35:50 |
| mixture-of-attention | 0.0.25 | Mixture of Attention | 2024-10-17 12:04:49 |
| infini-transformer-pytorch | 0.1.6 | Infini-Transformer in Pytorch | 2024-10-09 13:20:40 |
| robotic-transformer-pytorch | 0.2.3 | Robotic Transformer - Pytorch | 2024-10-06 21:30:32 |
| tabular-transformer | 0.3.0 | Transformer adapted for tabular data domain | 2024-09-24 03:22:23 |
| soundstorm-pytorch | 0.4.11 | SoundStorm - Efficient Parallel Audio Generation from Google Deepmind, in Pytorch | 2024-09-15 01:36:07 |
| CoLT5-attention | 0.11.1 | Conditionally Routed Attention | 2024-09-06 14:56:13 |
| taylor-series-linear-attention | 0.1.12 | Taylor Series Linear Attention | 2024-08-18 16:59:01 |
| self-reasoning-tokens-pytorch | 0.0.4 | Self Reasoning Tokens | 2024-05-05 18:01:34 |
| 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 |
| s5-pytorch | 0.2.1 | S5 - Simplified State Space Layers for Sequence Modeling - Pytorch | 2024-04-26 09:39:13 |
| hour | day | week | total |
|---|---|---|---|
| 96 | 2009 | 10271 | 303627 |