| Name | Version | Summary | date |
| zamba-torch |
0.0.4 |
zamba - Pytorch |
2024-05-28 17:27:09 |
| dooc |
0.0.2 |
Digtal Organoid On Chips |
2024-05-28 12:47:14 |
| pysalm |
0.0.1 |
Python Statistic Analysis & Machine Learning |
2024-05-26 03:17:36 |
| psalm |
0.0.1b0 |
Python Statistic Analysis & Machine Learning |
2024-05-26 03:03:41 |
| pypose |
0.6.8 |
To connect classic robotics with modern learning methods. |
2024-05-25 07:58:18 |
| deepfusion |
0.0.3 |
DeepFusion is a highly modular and customizable deep learning framework! |
2024-05-23 09:42:49 |
| antspynet |
0.2.8 |
A collection of deep learning architectures ported to the python language and tools for basic medical image processing. |
2024-05-22 17:52:45 |
| mnist1d |
0.0.2.post1 |
A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions |
2024-05-20 18:13:34 |
| juxtapose |
0.0.35 |
None |
2024-05-19 13:12:25 |
| vision-mamba |
0.1.0 |
Vision Mamba - Pytorch |
2024-05-16 18:16:57 |
| pydlutils |
0.0.6 |
Utility library for deep learning |
2024-05-15 07:06:22 |
| alphafold3 |
0.0.8 |
Paper - Pytorch |
2024-05-15 01:28:40 |
| gpt4o |
0.0.1 |
gpt4o - Pytorch |
2024-05-14 20:17:36 |
| deepnccl |
2.1.0 |
DEEP-NCCL is an AI-Accelerator communication framework for NVIDIA-NCCL. It implements optimized all-reduce, all-gather, reduce, broadcast, reduce-scatter, all-to-all,as well as any send/receive based communication pattern.It has been optimized to achieve high bandwidth on aliyun machines using PCIe, NVLink, NVswitch,as well as networking using InfiniBand Verbs, eRDMA or TCP/IP sockets. |
2024-05-14 09:33:26 |
| evorbf |
1.0.0 |
EvoRBF: Evolving Radial Basis Function Network by Intelligent Nature-inspired Algorithms |
2024-05-11 07:32:35 |
| iTransformer |
0.6.0 |
iTransformer - Inverted Transformer Are Effective for Time Series Forecasting |
2024-05-10 14:33:23 |
| mixentropy |
0.0.1 |
Tools for estimating entropy of mixture distribution and more. |
2024-05-10 02:07:36 |
| athena-starship |
0.0.4 |
Paper - Pytorch |
2024-05-09 00:10:34 |
| xlstm-torch |
0.0.2 |
xLSTM - Pytorch |
2024-05-08 15:33:54 |
| gemini-torch |
0.2.5 |
Gemini - Pytorch |
2024-05-07 17:43:53 |