6340 Open source projects that are alternatives of or similar to Gspan

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

Machine learning fundamentals lesson in interactive notebooks

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Representation learning for link prediction within social networks

Introduction to Data Science

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

用户贷款风险预测

Materials for GWU DNSC 6279 and DNSC 6290.

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

A curated list of fraud detection papers using graph information or graph neural networks

The "Python Machine Learning (1st edition)" book code repository and info resource

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

2017-CCF-BDCI-让AI当法官(初赛)：7th/415 (Top 1.68%)

Materials for workshops on text mining, machine learning, and data visualization

A curated list of adversarial attacks and defenses papers on graph-structured data.

Python implementation of TextRank for phrase extraction and summarization of text documents

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

H2O.ai Machine Learning Interpretability Resources

open source for wechat-official-account (ID: PyDataLab)

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

A book about machine learning, statistics, and data mining for heliophysics

Python library for reading and writing well data using Log ASCII Standard (LAS) files

2017-CCF-BDCI-企业经营退出风险预测：9th/569 (Top 1.58%)

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

2018年全国大学生计算机应用能力大赛之住房月租金预测第一名代码

Graph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

DLTK Model Zoo

Master gradient-based machine learning. Also secretly a JAX course in disguise!

Keras implementation of Realtime Multi-Person Pose Estimation

记录我学习数据挖掘过程的笔记和见到的奇技，持续更新～

Examples on how to use the alpha vantage library

Tutorials on using JuMP for mathematical optimization in Julia

Workshop on measuring, analyzing, and visualizing the 3D genome with Hi-C data.

Plots from the book "Storytelling with data" implementation using Python and matplotlib

Advanced Deep Learning with Python

Automated trading on Robinhood via RNN

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

My IPython Notebooks

Neural networks from scratch

Deep Declarative Networks

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

R kernel for Jupyter

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

Datasets, tools, and benchmarks for representation learning of code.

INACTIVE - please go to https://gitlab.com/juliensimon/dlnotebooks

This is the PyTorch implementation of paper Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs (https://arxiv.org/pdf/1907.06724.pdf)

Hands-On Data Science for Marketing, published by Packt

A place to collect resources shared bythe community of Intel® Edge AI Foundation course

Visualizations and helpers to improve and debug machine learning models for Rasa Open Source

[ACL 2020] PyTorch code for MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning

This is the code for the "How to Make an Image Classifier" - Intro to Deep Learning #6 by Siraj Raval on Youtube