jundengdeng

jundengdeng's Stars

• satoshiiizuka/siggraph2016_colorization

  Code for the paper 'Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification'.

  Language:Lua2.2k301

• SeanNaren/deepspeech.torch

  Speech Recognition using DeepSpeech2 network and the CTC activation function.

  Language:Lua25973

• szagoruyko/loadcaffe

  Load Caffe networks in Torch7

  Language:Protocol Buffer492164

• jcjohnson/densecap

  Dense image captioning in Torch

  Language:Jupyter Notebook1.6k429

• pbashivan/EEGLearn

  A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

  Language:Python723222

• iassael/torch-bnlstm

  Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.

  Language:Lua9217

• alexander-beer-weiss/multi-GPU_server

  a multi-threaded, multi-GPU Waffle web server

  Language:Lua121

• g-roma/auditory_scene_classification

  Code submitted to IEEE AASP "Detection and Classification of Acoustic Scenes and Events" challenge

  Language:Matlab31

• fmassa/optimize-net

  OptNet - Reducing memory usage in torch neural nets

  Language:Lua28245

• VowpalWabbit/vowpal_wabbit

  Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

  Language:C++8.5k1.9k

• zygmuntz/phraug2

  A new version of phraug, which is a set of simple Python scripts for pre-processing large files

  Language:Python20654

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.3k45.7k

• szagoruyko/cifar.torch

  92.45% on CIFAR-10 in Torch

  Language:Lua17477

• caglar/noisy_units

  Codes for the "Noisy Activation Functions" paper.

  Language:Python179

• jcjohnson/neural-style

  Torch implementation of neural style algorithm

  Language:Lua18.3k2.7k

• soumith/convnet-benchmarks

  Easy benchmarking of all publicly accessible implementations of convnets

  Language:Python2.7k577

• jcjohnson/torch-rnn

  Efficient, reusable RNNs and LSTMs for torch

  Language:Lua2.5k507

• TUT-ARG/DCASE2016-baseline-system-python

  DCASE 2016 Baseline system, python implementation

  Language:Python5131

• TUT-ARG/DCASE2016-baseline-system-matlab

  Language:Matlab136

• purcell/emacs.d

  An Emacs configuration bundle with batteries included

  Language:Emacs Lisp6.9k2.1k

• danieldjohnson/biaxial-rnn-music-composition

  A recurrent neural network designed to generate classical music.

  Language:Python1.9k377

• coreylynch/grid-lstm

  Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf

  Language:Lua18840

• facebookarchive/fb.resnet.torch

  Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

  Language:Lua2.3k665

• torch/torch7

  http://torch.ch

  Language:C9k2.4k

• Kaixhin/nninit

  Weight initialisation schemes for Torch7 neural network modules

  Language:Lua10012

• gcr/torch-residual-networks

  This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

  Language:Jupyter Notebook577145

• twitter-archive/torch-dataset

  An extensible and high performance method of reading, sampling and processing data for Torch

  Language:Lua7624

• microsoft/CNTK

  Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

  Language:C++17.5k4.3k

• chuanli11/CNNMRF

  code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"

  Language:Lua865148

• cmusatyalab/openface

  Face recognition with deep neural networks.

  Language:Lua15.2k3.6k