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SailingLab's Petuum project.
Purified Purine.
Papers with code. Sorted by stars. Updated weekly.
Demo of Content Based Image Retrieval in python
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.
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Pytorch implementation of convolutional neural network visualization techniques
Gradually-Warmup Learning Rate Scheduler for PyTorch
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
PyTorch implementation of the CVPR 2019 paper “Pyramid Feature Attention Network for Saliency Detection”
Tiny PyTorch library for maintaining a moving average of a collection of parameters.
R-CNN: Regions with Convolutional Neural Network Features
A list of papers on Generative Adversarial (Neural) Networks
A PyTorch implementation of REINFORCE Learning To Rank on OSHUMED, MQ, etc. dataset. Basic idea also appears in SIGIR'17 Reinforcement Learning to Rank with Markov Decision Process
Saliency Weighted Convolutional Features for Instance Search
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
Segmentation models with pretrained backbones. PyTorch.
Multi-Label Learning from Single Positive Labels - CVPR 2021
SOLO and SOLOv2 for instance segmentation.
The pytorch implementation of self-supervised scale equivariant network for weakly supervised semantic segmentation.
Modules for spatial transformer networks (BHWD layout)
Slides and exercises for the Deep Learning Summer School 2015 programming tutorials
A comprehensive survey of deep metric learning and related works
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Trilinear Attention Sampling Network for Fine-grained Image Recognition
Open source software library for numerical computation using data flow graphs.
Tensorflow port of LIFT (ECCV 2016), with training code.
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.