sheuan Goto Github PK

adaption

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

astc-encoder

auc-recognition

Automatically exported from code.google.com/p/auc-recognition

autonomous-driving-behavioral-cloning

Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras.

autoware

Open-source software for urban autonomous driving

awesome-bci

Curated Collection of BCI resources

awesome-very-deep-learning

A curated list of papers and code about very deep neural networks (especially ResNets and DenseNets) :sunglasses:

bbci_public

MATLAB toolbox for Brain-Computer Interfacing (BCI)

bci-challenge-ner-2015

Code and documentation for the winning solution at the BCI Challenge @ NER 2015 : https://www.kaggle.com/c/inria-bci-challenge

bci-comparison-framework

behavioral-cloning

Train a deep neural network to clone driving behavior by using images to predict steering angles

binary_ops

binaryconnect

Training Deep Neural Networks with binary weights during propagations

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

binarynet-1

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

bmxnet

bootcamp

Bootcamp held for Spring 17.

bpl

Bayesian Program Learning model for one-shot learning

braincomputerinterfaces

Variety of applications for BCI research

brian2

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

Caffe: a fast open framework for deep learning.

cama_summer_class_2017

杭电 CAMA-LAB 机器学习暑期研讨班

carnd-behavioral-cloning-p3

Starting files for the Udacity CarND Behavioral Cloning Project

chainer

A flexible framework of neural networks for deep learning

chisel-tutorial

chisel tutorial exercises and answers

cl_paper1_code

code for paper: http://arxiv.org/abs/1301.2820

clm-framework

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.

clouddalvq

Automatically exported from code.google.com/p/clouddalvq

conv-net-version-3

convnet

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'.