Highlights
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Feature Books for Machine Learning
Download market data from Yahoo! Finance's API
A pytorch library for graph and hypergraph computation.
A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
An official repository of paper "Combinatorial 3D Shape Generation via Sequential Assembly", presented at NeurIPS 2020 Workshop on Machine Learning for Engineering Modeling, Simulation, and Design
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
"Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman (ICLR 2020)
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
PyTorch Extension Library of Optimized Scatter Operations
PyTorch Extension Library of Optimized Graph Cluster Algorithms
Graph Neural Network Library for PyTorch
Benchmark datasets, data loaders, and evaluators for graph machine learning
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
Rich is a Python library for rich text and beautiful formatting in the terminal.
PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
Python SDK for the CloudConvert API
Implementation of Learning without Forgetting paper
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~