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Deep Learning and deep reinforcement learning research papers and some codes
Caffe: a fast open framework for deep learning.
Easy benchmarking of all publicly accessible implementations of convnets
Convolutional Neural Networks
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deep Learning Tutorial notes and code. See the wiki for more info.
Fast R-CNN
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016
Rethinking the Inception Architecture for Computer Vision
Torch port of https://github.com/google/inception
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
The fastest markdown parser in pure Python with renderer feature.
Just try something new
C++ implementation of TLD
R-FCN with joint training and python support
R-CNN: Regions with Convolutional Neural Network Features
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Lasagne recipes: examples, IPython notebooks, ...
Implementation of "Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning"
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
Accurate Single Stage Detector Using Recurrent Rolling Convolution
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
Efficient, reusable RNNs and LSTMs for torch
http://torch.ch
An open library of computer vision algorithms
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.