cteant

SPACE

Official implementation of SPACE

Get_Stock_Price_HongKong

从新浪财经抓取港股信息

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-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.).

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.

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

ITArticles

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.

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.

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.

spark-lp

Distributed Linear Programming Solver on top of Apache Spark

Spec-Bench

Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)

TensorFlow-Course

Simple and ready-to-use tutorials for TensorFlow

tensorflow-crash-course

For those who already have some basic idea about deep learning, and preferably are familiar with PyTorch.

TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow