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aggregationcrossentropyloss4caffe

Aggregation Cross Entropy Loss Layer for Caffe Python Layer Version

all-caffe

attentionmask

AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects (ACCV 2018, accepted as oral)

awesome-deep-learning-music

List of articles related to deep learning applied to music

caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.

char-rnn-cn

基于char-rnn和tensorflow生成周杰伦歌词

commai-env

A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130

convmf

Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)

crcb

caffemodel

cs124code

斯坦福CS124课程中涉及的算法的lisp／python的实现。

cyclegan

Tensorflow implementation of CycleGANs

darknet

Convolutional Neural Networks

easypr

An open source project for Chinese plate recognition in unconstrained situation. It aims to be Easy, Flexible, and Accurate. Welcome to contribute your expertise !

editprobability4textrecognition

fcas

Comment Analysis System with Food

hde

hdeclpr

a test git file

hn-musictool

lisp语言的音乐工具包，其中包括midi与五线谱的转换，音乐的一些列变化。这个是在复现电脑作曲的算法论文过程中所需的一些操作。

hyperlpr

基于keras-tensorflow的车牌识别

imgaug

Image augmentation for machine learning experiments.

labelnoisetool

latex-template-cn

\LaTeX 中文模版收集。

learning-music-features

Dartmouth CS74 (Machine Learning) final project: implemented algorithm by Olshausen and Field (1996), ran on piano midi data.

lectures

Oxford Deep NLP 2017 course

magenta

Magenta: Music and Art Generation with Machine Intelligence

masktextspotter.caffe2

The code of "Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes"

mc-fcrn-ilm

mljejucamp

Machine Learning Jeju Camp

music-topic-models

Experiments in applying Latent Dirichlet Allocation to chord progressions

neural-network-with-financial-time-series-data

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using Keras on top of Tensor Flow