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Name: Tian Sheuan Chang
Type: User
Name: Tian Sheuan Chang
Type: User
An adapted version of the original caffe deep learning library to support training, finetuning and testing of convolutional neural networks with limited numerical precision of weights and activations
Automatically exported from code.google.com/p/auc-recognition
Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras.
Open-source software for urban autonomous driving
Curated Collection of BCI resources
A curated list of papers and code about very deep neural networks (especially ResNets and DenseNets) :sunglasses:
MATLAB toolbox for Brain-Computer Interfacing (BCI)
Code and documentation for the winning solution at the BCI Challenge @ NER 2015 : https://www.kaggle.com/c/inria-bci-challenge
Train a deep neural network to clone driving behavior by using images to predict steering angles
Training Deep Neural Networks with binary weights during propagations
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Bootcamp held for Spring 17.
Bayesian Program Learning model for one-shot learning
Variety of applications for BCI research
Brian2 is an improved and partly rewritten version of Brian, the spiking neural network simulator (see http://briansimulator.org). It is currently in a beta state, ready for testing.
Caffe: a fast open framework for deep learning.
杭电 CAMA-LAB 机器学习暑期研讨班
Starting files for the Udacity CarND Behavioral Cloning Project
A flexible framework of neural networks for deep learning
chisel tutorial exercises and answers
code for paper: http://arxiv.org/abs/1301.2820
CLM-framework (a.k.a Cambridge Face Tracker) is a framework for various Constrained Local Model based face tracking and landmark detection algorithms and their extensions/applications. Includes CLM-Z and CLNF.
Automatically exported from code.google.com/p/clouddalvq
Convolutional Neural Networks for Matlab, including Invariang Backpropagation algorithm (IBP). Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.
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.