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Active Convolution
Code and hyperparameters for the paper "Generative Adversarial Networks"
Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
A technical report on convolution arithmetic in the context of deep learning
Codes and datasets for 'Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation' [Inoue+, CVPR2018].
Differentiable architecture search for convolutional and recurrent networks
Densely Connected Pyramid Dehazing Network (CVPR'2018)
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
DSB2018 [ods.ai] topcoders
FastMask: Segment Multi-scale Object Candidates in One Shot
Fully Convolutional Instance-aware Semantic Segmentation
Feature selector is a tool for dimensionality reduction of machine learning datasets
Few Shot
A collection of funny cvpr2018 project
Generative Image Inpainting with Contextual Attention https://arxiv.org/abs/1801.07892, demo http://jhyu.me/demo
Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network"
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)
Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"
Implementation of “LatentGNN: Learning Efficient Non-local Relations for Visual Recognition”(ICML 2019)
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification (https://arxiv.org/pdf/1711.07027.pdf). CVPR2018
Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning
Models and examples built with TensorFlow
Neural Architecture Search Without Training
Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.
Light version of Network Dissection for Quantifying Interpretability of Networks
Private repository for online federated learning.
A course in reinforcement learning in the wild
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.