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Reinforcement learning resources curated
visual tracker benchmark results
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Caffe: a fast open framework for deep learning.
Train/eval code for DilatedConv [Yu, ICLR'16], DeepLab-v2 [Chen, Arxiv'16], PSPNet [Zhao, CVPR'17]
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
Realtime C++ code for multi-person pose estimation
(CVPR'17) Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to achieve state-of-the-art performance in tracking, at high-speed.
MS COCO API - http://mscoco.org/
the first step to github
A technical report on convolution arithmetic in the context of deep learning
CREST: Convolutional Residual Learning for Visual Tracking
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
Source Codes for "Communication-Censored Distributed Stochastic Gradient Descent"
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Deep Feature Flow for Video Recognition
TensorFlow implementation of Deep Reinforcement Learning papers
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Deep Learning in H2O using Native GPU Backends
Dilated Convolution for Semantic Image Segmentation
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Matlab implementation of the ECO tracker.
End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks
Code for the paper 'Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks'
Fast R-CNN
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.