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VTK-based Data Analysis and Visualization Application
Variational and semi-supervised neural network toppings for Lasagne
PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations
ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.
Personae is a repo of implements and enviorment of Deep Reinforcement Learning & Supervised Learning.
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Repository of my thesis "Understanding Random Forests"
The SSBM "Phillip" AI.
Using Pilco algorithm to find a controller for few robotic problems
Autonomous Sailboat using Node.js
python版本:高准确度中文分词工具,简单易用,跟现有开源工具相比大幅提高了分词的准确率。
Deep Planning Network: Control from pixels by latent planning with learned dynamics
Multi agent planetary exploration with different implementations of reinforcement learning
Probabilistic Modeling Toolkit for Matlab/Octave.
Pose-Normalized Image Generation for Person Re-identification
Demonstration of Tesseract OCR on the iPhone. Video: http://www.youtube.com/v/MICew5-nZp4?hl=en_US&fs=1
A course in reinforcement learning in the wild
Predicting personality from the resting state EEG
code for "Predictive representations can link model-based reinforcement learning to model-free mechanisms"
Tensorflow implementation of "The Predictron: End-To-End Learning and Planning"
WIP implementation of "The Predictron: End-To-End Learning and Planning" (http://arxiv.org/abs/1612.08810) in Chainer
Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
solution of exercises of the book "probabilistic robotics"
A Quick and Dirty Progressive Neural Network written in TensorFlow.
Code used for an implementation of Progressive Neural Networks
Progressive Growing of GANs for Improved Quality, Stability, and Variation
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.