Graph Neural Network Library for PyTorch
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Techniques for deep learning with satellite & aerial imagery
links to conference publications in graph-based deep learning
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
High-efficiency floating-point neural network inference operators for mobile, server, and Web
Non-invasive decoding of typed sentences from MEG and EEG brain recordings using a convolutional encoder, transformer, and character-level language model.
Image processing and manipulation in JavaScript
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
Building Convolutional Neural Networks From Scratch using NumPy
Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.
Open Source CNN Image Classifier Builder with Keras and C# Cross Language 2026
Fast Track AI Model Training with Streamlit Vision to Production in 2026
No-Code Image Classification Studio: AutoML Tuning Toolkit with Streamlit 2026