Stars
Transformer: PyTorch Implementation of "Attention Is All You Need"
Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
Python library assists deep learning on graphs
Graph Neural Networks with Keras and Tensorflow 2.
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
Deep Learning toolkit for Computer Vision.
Strategies for Pre-training Graph Neural Networks
A tensorflow implementation of self attentive graph embedding (SAGE) in WWW 2019
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
A collection of important graph embedding, classification and representation learning papers with implementations.
VIP cheatsheets for Stanford's CS 229 Machine Learning
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
OpenMMLab Detection Toolbox and Benchmark
Guide for both TensorFlow and PyTorch in comparative way
Non-maximum suppression for object detection in a neural network
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, panning and animations.