Name | Version | Summary | date |
nuwa-pytorch |
0.7.8 |
NÜWA - Pytorch |
2023-01-17 17:57:29 |
isab-pytorch |
0.2.3 |
Induced Set Attention Block - Pytorch |
2023-01-10 21:03:16 |
audio-encoders-pytorch |
0.0.22 |
Audio Encoders - PyTorch |
2023-01-07 11:10:07 |
einops-exts |
0.0.4 |
Einops Extensions |
2023-01-05 20:02:43 |
adjacent-attention-pytorch |
0.0.12 |
Adjacent Attention Network - Pytorch |
2022-12-24 16:52:18 |
denoising-diffusion-mindspore |
0.0.1a0 |
Denoising Diffusion Probabilistic Models - MindSpore |
2022-12-16 03:30:21 |
nowcasting-utils |
0.0.41 |
Nowcasting Utilities |
2022-12-15 10:15:33 |
IRT-AI |
0.0.1a0 |
Infrared Thermal Image Analysis based on Artificial Intelligence |
2022-12-14 01:46:47 |
ai2thor |
5.0.0 |
AI2-THOR: A Near Photo-Realistic Interactable Framework for Embodied AI Agents |
2022-12-13 23:27:28 |
KeyMojiAPI |
1.0.5 |
KeyMoji sentimental analysis system differs from other "amature-tagged" and "pure-ML/DL" text sentimental analysis solutions in many ways. KeyMoji combines "syntactic structure information", "formal semantics" and "lexical semantic model" in one calculating process to estimate the sentimental bias and distributions of sentiments in texts. |
2022-12-12 08:46:04 |
torchtoolkit |
0.0.4 |
Useful functions to use with PyTorch |
2022-12-10 10:33:55 |
cqt-pytorch |
0.0.5 |
CQT Pytorch |
2022-12-09 09:12:44 |
ailca |
0.3.2 |
Python package for chemical machine learning. |
2022-12-08 06:04:01 |
Metric-Learning-Layers |
0.1.6 |
A simple PyTorch package that includes the most common metric learning layers. |
2022-12-01 15:27:54 |
aligner-pytorch |
0.0.19 |
Aligner - PyTorch |
2022-11-30 07:19:39 |
flamingo-pytorch |
0.1.2 |
Flamingo - Pytorch |
2022-10-18 21:46:03 |
alphafold2-pytorch |
0.4.32 |
AlphaFold2 - Pytorch |
2022-07-05 18:58:35 |
rtdl |
0.0.13 |
Research on Tabular Deep Learning. |
2022-03-16 16:32:57 |
performer-pytorch |
1.1.4 |
Performer - Pytorch |
2022-02-02 20:34:05 |
reformer-pytorch |
1.4.4 |
Reformer, the Efficient Transformer, Pytorch |
2021-11-06 23:09:02 |