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Tensors and Dynamic neural networks in Python with strong GPU acceleration
A curated list of awesome Machine Learning frameworks, libraries and software.
A collection of learning resources for curious software engineers
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
The interactive graphing library for Python ✨
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
An open access book on scientific visualization using python and matplotlib
NumPy aware dynamic Python compiler using LLVM
PyTorch package for the discrete VAE used for DALL·E.
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
📚 Parameterize, execute, and analyze notebooks
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Fast data visualization and GUI tools for scientific / engineering applications
Medical imaging processing for AI applications.
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
A Python toolbox for gaining geometric insights into high-dimensional data
A large-scale dataset of both raw MRI measurements and clinical MRI images.
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
MedSAM2: Segment Anything in 3D Medical Images and Videos
A Python library for unevenly-spaced time series analysis
Classification of Lung cancer slide images using deep-learning
Deep Learning Library for Single Cell Analysis