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activitynet

This repository is intended to host tools and demos for ActivityNet

algorithm

ann_wang_python

Python implementation (BRIAN Simulator) of the decision-making network of Wang (2002)

bayesianlearning

Bayesian Machine Learning

brainstorm

Fast, flexible and fun neural networks.

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.

cann_base

Basic Implementation of a Continuous-attractor Neural Network

cnn_linear_max

A simple ConvNet in 200 MATLAB lines

convolution_lstm_pytorch

Multi-layer convolutional LSTM with Pytorch

convolutional-neural-network-implementatation

deep-learning-keras-euroscipy2016

# Deep Learning with Keras

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

disentangled_vae

Replicating "Understanding disentangling in β-VAE"

dl4nlp

Deep Learning for NLP resources

ei_net

E-I Net is a spiking neural network simulation and a general-purpose spiking neural circuit simulator

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

facedetection_cnn

Multi-view Face Detection Using Deep Convolutional Neural Networks

firstrnn

rnn

gdlnotes

Google Deep Learning笔记

generative-models

Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch.

generative-query-network-pytorch

Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"

generative_models

Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE

gitskills

handwrite_rnn

hessianfree

An implementation of the Hessian-free optimization algorithm in Theano

hfopt-matlab

A parallel, cpu-based matlab implemention of the Hessian Free (HF) optimization (feed forward networks, recurrent neural networks (RNN), multiplicative recurrente neural networks (MRNN)).

interview-notes

包含机器学习、深度学习、图像处理、c++等视觉算法岗面试必备基础知识