cteant Goto Github PK

auto-lianliankan

基于python图像识别实现的连连看外挂，可实现QQ连连看秒破

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

big-data-project

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

donut

Donut is an anomaly detection algorithm for seasonal KPIs.

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

get_recommend_stock

抓取同花顺智能选股和level2广告页股票推荐数据，并发送邮件给指定邮箱

get_stock_price_hongkong

从新浪财经抓取港股信息

hello-world

This is a test project created in Sep. 2, 2016

itarticles

kinecttouch

Turns any surface into a giant touchpad using kinect

lgcn

magenta

Magenta: Music and Art Generation with Machine Intelligence

mahjong-1

麻将算法汇总

matrixprofile-ts

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

mr-seql

Time Series Classification with Multiple Symbolic Representations.

neural-style

Torch implementation of neural style algorithm

ngm-sentiment-analysis

Implementation of Neural Graph Machine inspired by the paper [2017 - Bui, Ravi Ramavajjala - Neural Graph Machines: Learning Neural Networks Using Graphs] (https://arxiv.org/abs/1703.04818) for binary Sentiment Analysis using the Large Movie Review Dataset. This is an optional project for a class in Advanced Algorithms and Parallel Programming

production-level-deep-learning

This repo attempts to serve as a guideline for building practical production-level deep learning systems to be deployed in real world applications.

py12306

12306.cn Python 订票程序

pybld

Build different versions of python locally with virtual environments.

resnet-in-tensorflow

Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

robocats-falling-by-cubic-polynomial

This repository contains the algorithm to solve the IBM puzzles that available at: https://www.research.ibm.com/haifa/ponderthis/challenges/April2016.html

semisup-learn

Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data

sergcn

Code for SERGCN

simple_dqn

Simple deep Q-learning agent.