Graph Neural Network Library for PyTorch
- pytorch
- geometric-deep-learning
- graph-neural-networks
- deep-learning
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Graph Neural Network Library for PyTorch
A MNIST-like fashion product database. Benchmark :point_down:
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Convolutional Neural Network for Text Classification in Tensorflow
A simple, fully convolutional model for real-time instance segmentation.
A collection of important graph embedding, classification and representation learning papers with implementations.
A best practice for tensorflow project template architecture.
TensorFlow (Python API) implementation of Neural Style
StellarGraph - Machine Learning on Graphs
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Audio processing by using pytorch 1D convolution network
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
CNN visualization tool in TensorFlow
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation