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Type: Organization
Type: Organization
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
This repository provides the official implementation for Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation (ECCV 2022)
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Code from PropMix, accepted at BMVC'21
Protocol Buffers - Google's data interchange format
Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"
Code for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019) and "SCOP: Scientific Control for Reliable Neural Network Pruning" (NeurIPS 2020).
Pruning Filter in Filter(NeurIPS2020)
PyTorch implementation of NeurIPS 2020 paper "Pruning Filter in Filter".
[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
Official code for the paper "Visual Speech Enhancement Without A Real Visual Stream" published at WACV 2021
PyTorch Implementation of DARTS: Differentiable Architecture Search
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
Puzzle-CAM: Improved localization via matching partial and full features.
Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Codebase for Image Classification Research, written in PyTorch.
PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
A Python library for Deep Graph Networks
Graph Signal Processing in Python
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
A Machine Learning library based on Theano
PyMC: Bayesian Stochastic Modelling in Python
Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.
Implementation of Pyramid Attention Networks for Semantic Segmentation.
Deep universal probabilistic programming with Python and PyTorch
StarCraft II Learning Environment
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.