Name | Version | Summary | date |
tf-keras-nightly |
2.18.0.dev2024061609 |
Deep learning for humans. |
2024-06-16 09:59:48 |
tsforecasting |
1.4.10 |
TSForecasting: Automated Time Series Forecasting Framework |
2024-06-15 22:40:58 |
atlantic |
1.1.66 |
Atlantic: Automated Preprocessing framework for Supervised Machine Learning |
2024-06-15 22:38:19 |
sparseml-nightly |
1.8.0.20240615 |
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models |
2024-06-15 20:33:28 |
prototwin-gymnasium |
0.1.3 |
The official base Gymnasium environment for ProtoTwin Connect. |
2024-06-15 20:17:25 |
ClustAssessPy |
1.0.1 |
Python package for systematic assessment of clustering results stability on single-cell data. |
2024-06-15 19:50:16 |
prototwin |
0.1.11 |
The official python client interface for ProtoTwin Connect. |
2024-06-15 19:17:22 |
scrapegraphai |
1.6.1 |
A web scraping library based on LangChain which uses LLM and direct graph logic to create scraping pipelines. |
2024-06-15 17:52:36 |
torchx-nightly |
2024.6.15 |
TorchX SDK and Components |
2024-06-15 11:26:04 |
NetKet |
3.12.2 |
Netket : Machine Learning toolbox for many-body quantum systems. |
2024-06-15 09:27:32 |
netron |
7.7.3 |
Viewer for neural network, deep learning, and machine learning models |
2024-06-15 05:33:46 |
multi-med-image-ml |
0.0.22 |
Deep learning library to encode multiple brain images and other electronic health record data in disease detection. |
2024-06-15 04:31:40 |
albucore |
0.0.10 |
A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation. |
2024-06-15 03:48:40 |
flwr-nightly |
1.10.0.dev20240614 |
Flower: A Friendly Federated Learning Framework |
2024-06-14 23:05:54 |
chemprop |
2.0.2 |
Molecular Property Prediction with Message Passing Neural Networks |
2024-06-14 22:03:58 |
torch-directml |
0.2.2.dev240614 |
A DirectML backend for hardware acceleration in PyTorch. |
2024-06-14 22:03:21 |
esmerald |
3.2.5 |
Highly scalable, performant, easy to learn, easy to code and for every application. |
2024-06-14 21:32:13 |
truss |
0.9.15 |
A seamless bridge from model development to model delivery |
2024-06-14 17:19:33 |
hypothesis-torch |
0.7.9 |
Hypothesis strategies for various Pytorch structures, including tensors and modules. |
2024-06-14 17:07:46 |
mngs |
1.5.4 |
For lazy python users (monogusa people in Japanse), especially in ML/DSP fields |
2024-06-14 16:12:40 |