creatorcen Goto Github PK
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Segmentation models with pretrained backbones. PyTorch.
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
end2end layout analysis based seq2seq
Simple deep Q-learning agent.
A Simple and Versatile Framework for Object Detection and Instance Recognition
The paper list about skeleton-based action recognition.
learning SLAM,curse,paper and others
Small Matlab to Python compiler
SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm
🎯 A comprehensive gradient-free optimization framework written in Python
Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.
A course project on convolutional neural networks for single image super-resolution
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven navigation agents solving the task published in “Learning to Navigate in Cities Without a Map”, NeurIPS 2018
Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch
A student implementation of Alpha Go Zero
缺陷检测文献记录
Swift Core ML 3 implementations of GPT-2 and BERT for Question answering. Other Transformers coming soon!
synthdata-zh is a project that generates a Chinese language training set
PyTorch implementation of TD3 and DDPG for OpenAI gym tasks
各类GAN综合在一起,借鉴了hwalsuklee大神的
🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset
tensorflow实战练习,包括强化学习、推荐系统、nlp等
Deep Learning and Reinforcement Learning Library for Scientists
Texture Synthesis by Non-parametric Sampling
Implementation of "Texture Synthesis with Non-Parametric Sampling" paper by Alexei A. Efros and Thomas K. Leung
Implementation of A. Efros and T. Leung, 'Texture Synthesis by Non-parametric Sampling' (1999)
Tensorflow Deep Q-Network
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.