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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
🍃 JavaScript library for mobile-friendly interactive maps 🇺🇦
Cross-platform, customizable ML solutions for live and streaming media.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
A game theoretic approach to explain the output of any machine learning model.
Interactive Data Visualization in the browser, from Python
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
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
darktable is an open source photography workflow application and raw developer
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
An open access book on scientific visualization using python and matplotlib
A fast image processing library with low memory needs.
NumPy aware dynamic Python compiler using LLVM
PyTorch package for the discrete VAE used for DALL·E.
TensorFlow Tutorials with YouTube Videos
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
📚 Parameterize, execute, and analyze notebooks
The old electron based nteract notebook
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans