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deep-learning-experiments

(keras gan )Notes and experiments to understand deep learning concepts

deep-learning-for-recommendation-systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

deep-learning-tensorflow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

deep-qa

(chatbot)Question and Answering Model with TensorFlow

deep-residual-networks

Deep Residual Learning for Image Recognition

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.

deepmask

Torch implementation of DeepMask and SharpMask

deepnlp

Deep Learning NLP Pipeline implemented on Tensorflow

deformable-convnets

最新图像网络 Deformable Convolutional Networks

densityclust

Clustering by fast search and find of density peaks

dml

D's Machine Learning is a machine learning toolkit for python,focus on rightness but efficiency

dml-1

MLib, Involved with: TopicModel、LR、GBDT、TimeSeries、Word[Doc] Embedding，etc

duke

Duke is a fast and flexible deduplication engine written in Java

dynamic-cnn-sentence-classification-tf

dynamic-seq2seq

seq2seq中文聊天机器人

easytrader

提供券银河/银河客户端/广发/湘财证券/雪球的基金、股票自动程序化交易以及自动打新，支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件

encoder_decoder

Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq

facebook-messenger-bot

Facebook chatbot that I trained to talk like me using Seq2Seq

faiss

A library for efficient similarity search and clustering of dense vectors.

fastbdt

Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface

fasttext

Library for fast text representation and classification.

flume

Mirror of Apache Flume

gbdt

gbdt-1

A simple GBDT in Python

gbdt-2

Gradient boosting decision trees.

go-login-demo

golang login demo , contained connectting mysql, template,etc

graphchi-cpp

GraphChi's C++ version. Big Data - small machine.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

i2v_project

item2vec

image-feature-detection-using-phase-stretch-transform

PST or Phase Stretch Transform is an operator that finds features in an image. PST implemented using MATLAB here, takes an intensity image I as its input, and returns a binary image out of the same size as I, with 1's where the function finds sharp transitions in I and 0's elsewhere.