6277 Open source projects that are alternatives of or similar to The Building Data Genome Project

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Stock for Deep Learning and Machine Learning

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

DeltaPy - Tabular Data Augmentation (by @firmai)

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.

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

R package to interface with OpenML

A New, Interactive Approach to Learning Data Science

“魔镜杯”风控算法大赛 拍拍贷风控模型，接近冠军分数

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

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

Deep Learning: Image classification, feature visualization and transfer learning with Keras

A Python library for easy data analysis, visualization, exploration and modeling

Condividiamo informazioni e segnalazioni sul COVID19

Mapeamento de iniciativas (e catálogos) de dados abertos governamentais no Brasil.

Source code and data analyses for the Sci-Hub Coverage Study

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

Feature engineering package with sklearn like functionality

Features selector based on the self selected-algorithm, loss function and validation method

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Feature exploration for supervised learning

Comprehensive toolkit for generating various numerical features of protein sequences

Simple TF IDF Library

Python tools for data analysis

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Open Matrix (OMX)

📢 Ready to learn or review your knowledge!

An intuitive library to extract features from time series

Automatic extraction of relevant features from time series:

Série histórica dos dados sobre COVID-19, a partir de informações do Ministério da Saúde

Data transformations for the ML era

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Flexible time series feature extraction & processing

A practical feature engineering handbook

Fast k-Nearest Neighbors Classifier for Large Datasets

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

A miniature lisp-like language for querying JSON-like structures. Tuned for clientside ML feature extraction.

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

FMA: A Dataset For Music Analysis

Open Knowledge Labs website (and general issue tracker).

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

Code examples for training AlexNet using Keras and Theano

kaggle Dog Breed Identification

A neural attention model for speech command recognition

Solving the fundamentals of algorithms using Python

Kaggle Data Science Bowl 2018

瑞金医院MMC人工智能辅助构建知识图谱大赛初赛

Statistical Rethinking with PyTorch and Pyro

S3FD: single shot face detector in pytorch

Some experiments with object detection in PyTorch

Python client for Batfish: https://github.com/batfish/batfish

State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.

Dstl Satellite Imagery Feature Detection

Материалы курса "Глубинное обучение", ФКН ВШЭ, бакалаврская программа ПМИ