| Name | Version | Summary | date |
| swarms |
6.5.8 |
Swarms - TGSC |
2024-12-09 01:04:31 |
| lightning-pose |
1.6.1 |
Semi-supervised pose estimation using pytorch lightning |
2024-12-08 19:22:31 |
| genie2-pytorch |
0.0.11 |
Genie2 |
2024-12-08 17:30:08 |
| minGRU-pytorch |
0.1.0 |
minGRU |
2024-12-08 15:37:41 |
| lymt |
0.1.1 |
Let Your Model Think |
2024-12-08 08:16:22 |
| radiology-swarm |
0.0.3 |
RadiologySwarm - TGSC |
2024-12-07 20:09:30 |
| model-wrapper |
0.2.1 |
Model wrapper for Pytorch, which can training, predict, evaluate, etc. |
2024-12-07 14:04:31 |
| netron |
8.0.5 |
Viewer for neural network, deep learning and machine learning models. |
2024-12-07 02:18:57 |
| albumentations |
1.4.22 |
Fast, flexible, and advanced image augmentation library for deep learning and computer vision. Albumentations offers a wide range of transformations for images, masks, bounding boxes, and keypoints, with optimized performance and seamless integration into ML workflows. |
2024-12-06 21:42:41 |
| phiml |
1.10.2 |
Unified API for machine learning |
2024-12-06 19:14:47 |
| outlines-core |
0.1.21 |
Structured Text Generation in Rust |
2024-12-06 16:32:48 |
| outlines |
0.1.8 |
Probabilistic Generative Model Programming |
2024-12-06 14:51:36 |
| egnn-pytorch |
0.2.8 |
E(n)-Equivariant Graph Neural Network - Pytorch |
2024-12-06 14:23:39 |
| antspynet |
0.2.9 |
A collection of deep learning architectures ported to the python language and tools for basic medical image processing. |
2024-12-06 12:49:01 |
| roboml |
0.2.3 |
Machine learning models optimized for robotics experimentation and deployment |
2024-12-06 12:10:00 |
| tf-keras-nightly |
2.19.0.dev2024120610 |
Deep learning for humans. |
2024-12-06 10:59:16 |
| skada |
0.4.0 |
A Python package for domain adaptation compatible with scikit-learn and Pytorch. |
2024-12-06 09:59:26 |
| langagent |
2.1.6 |
LangAgent is a versatile multi-agent system designed to streamline complex tasks such as research, automated code generation, logical reasoning, data analysis, and dynamic reporting. Powered by advanced language models, it integrates seamlessly with external APIs, databases, and a variety of data formats, enabling developers and professionals to automate workflows, extract insights, and generate professional-grade reports effortlessly. |
2024-12-06 08:03:36 |
| CVX2 |
0.1.4 |
Tools of CV(Computer Vision) |
2024-12-06 00:06:58 |
| pix2tex |
0.1.3 |
pix2tex: Using a ViT to convert images of equations into LaTeX code. |
2024-12-05 22:11:27 |