| Name | Version | Summary | date |
| jax-dataloader |
0.1.0 |
Dataloader for jax |
2024-02-15 18:35:12 |
| scdataloader |
0.0.3 |
a dataloader for single cell data in lamindb |
2024-02-15 10:35:49 |
| lazydl |
0.2.83 |
Deep learning tools |
2024-02-15 10:25:31 |
| torch-uncertainty |
0.1.6 |
Uncertainty quantification library in PyTorch |
2024-02-14 09:35:05 |
| torchapp |
0.3.10 |
A wrapper for fastai projects to create easy command-line inferfaces and manage hyper-parameter tuning. |
2024-02-14 04:47:29 |
| uotod |
0.3.post2 |
Unbalanced Optimal Transport for Object Detection |
2024-02-12 14:23:17 |
| torch-data-bigquery |
0.0.2 |
None |
2024-02-11 23:03:34 |
| tsai |
0.3.9 |
Practical Deep Learning for Time Series / Sequential Data library based on fastai & Pytorch |
2024-02-11 19:23:17 |
| opacus |
1.4.1 |
Train PyTorch models with Differential Privacy |
2024-02-11 17:28:31 |
| ImageEnhancer |
1.0 |
Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration |
2024-02-10 18:23:06 |
| interpolation-higher-order-3d-torch |
0.1.1 |
A highly performant, GPU compatible package for higher order interpolation in PyTorch |
2024-02-09 23:46:38 |
| adbpyg-adapter |
1.1.3 |
Convert ArangoDB graphs to PyG & vice-versa. |
2024-02-09 14:33:32 |
| torch-cif |
0.2.0 |
A fast parallel implementation of continuous integrate-and-fire (CIF) https://arxiv.org/abs/1905.11235 |
2024-02-09 05:22:48 |
| mrl-pytorch |
0.1.1 |
An unofficial implementation of Matryoshka Representation Learning for contrastive self-supervised learning |
2024-02-06 21:37:21 |
| torch-tb-profiler-ascend |
0.4.0.7 |
PyTorch Ascend Profiler TensorBoard Plugin |
2024-02-06 02:27:22 |
| tboard |
0.1.2 |
Write and read tensorboard files. |
2024-02-04 21:54:28 |
| verbatim |
0.1.6 |
high quality multi-lingual speech to text |
2024-02-02 06:17:23 |
| litrl |
0.0.24 |
Implementation of RL algorithms in PyTorch Lightning |
2024-02-01 08:09:58 |
| dhg |
0.9.4 |
DHG is a Deep Learning Framework for Graph Neural Network and Hypergraph Neural Networks. |
2024-01-31 03:55:38 |
| ml-hadoop-experiment |
0.0.5 |
TensorFlow and Pytorch helpers to run experiments on Hadoop |
2024-01-30 22:20:42 |