| Name | Version | Summary | date |
| birder |
0.1.1 |
An open-source computer vision framework for wildlife image analysis, featuring state-of-the-art models for species classification and detection. |
2025-10-08 16:36:52 |
| sae-lens |
6.13.1 |
Training and Analyzing Sparse Autoencoders (SAEs) |
2025-10-08 13:53:03 |
| albumentationsx |
2.0.12 |
Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Albumentations offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volumes, volumetric masks, keypoints) data, with optimized performance and seamless integration into ML workflows. |
2025-10-08 12:50:55 |
| scikit-plots |
0.4.0.post5 |
An intuitive library that seamlessly adds plotting capabilities and functionality to any model objects or outputs, compatible with tools like scikit-learn, XGBoost, TensorFlow, and more. |
2025-10-08 11:31:00 |
| ai-edge-torch-nightly |
0.7.0.dev20251008 |
Supporting PyTorch models with the Google AI Edge TFLite runtime. |
2025-10-08 10:26:49 |
| nanowakeword |
1.1.3 |
An intelligent framework for automatically training high--performance, custom wake word models. |
2025-10-08 07:55:48 |
| pyg-nightly |
2.7.0.dev20251008 |
Graph Neural Network Library for PyTorch |
2025-10-08 06:08:26 |
| gcpds-cv-pykit |
0.1.0.62 |
A comprehensive toolkit for computer vision and segmentation tasks |
2025-10-08 04:52:32 |
| MorphologicalToolkitForImages |
0.1.0 |
Biblioteca para geração de árvores morfológicas, extração de atributos e aplicação de filtros em imagens. |
2025-10-08 04:45:32 |
| llmcompressor |
0.8.1 |
A library for compressing large language models utilizing the latest techniques and research in the field for both training aware and post training techniques. The library is designed to be flexible and easy to use on top of PyTorch and HuggingFace Transformers, allowing for quick experimentation. |
2025-10-08 02:12:55 |
| effectful |
0.2.1 |
Metaprogramming infrastructure |
2025-10-07 19:24:01 |
| pted |
1.2.0 |
Implementation of a Permutation Test using the Energy Distance for two sample tests and posterior coverage tests |
2025-10-07 19:22:06 |
| nemo-evaluator-launcher |
0.1.10 |
Launcher for the evaluations provided by NeMo Evaluator containers with different runtime backends |
2025-10-07 01:34:22 |
| nemo-evaluator |
0.1.10 |
Common utilities for NVIDIA evaluation frameworks |
2025-10-07 01:34:10 |
| nemo-toolkit |
2.5.0 |
NeMo - a toolkit for Conversational AI |
2025-10-07 00:36:07 |
| ONTraC |
2.0.7.post1 |
A niche-centered, machine learning method for constructing spatially continuous trajectories |
2025-10-06 21:18:12 |
| litdata |
0.2.57 |
The Deep Learning framework to train, deploy, and ship AI products Lightning fast. |
2025-10-06 20:31:34 |
| hypothesis-torch |
2.0.5 |
Hypothesis strategies for various Pytorch structures, including tensors and modules. |
2025-10-06 19:27:59 |
| PytorchWildlife |
1.2.4.2 |
a PyTorch Collaborative Deep Learning Framework for Conservation. |
2025-10-06 16:47:59 |
| hpfracc |
2.1.0 |
High-Performance Fractional Calculus Library with Fractional Autograd Framework, GPU Acceleration, Machine Learning Integration, and Graph Neural Networks |
2025-10-06 15:23:10 |