567 Open source projects that are alternatives of or similar to Nyaggle

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

使用sklearn做特征工程

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

A collection of notebooks of my Machine Learning class written in python 3

Material of the Kaggle Berlin meetup group!

LAMA - automatic model creation framework

Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.

Fast k-Nearest Neighbors Classifier for Large Datasets

Paraphrase question identification using Feature Fusion Network (FFN).

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.

Kaggle solutions

Feature Store for Machine Learning

Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline

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

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Code for Kaggle Data Science Competitions

Open solution to the Home Credit Default Risk challenge 🏡

The repository provides usefull python scripts for ML and data analysis

从零基础开始机器学习之旅

AI research environment for the Atari 2600 games 🤖.

TensorFlow framework for training and serving machine learning models

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

📖 [译] 面向机器学习的特征工程

Open-source framework to detect outliers in Elasticsearch events

Coalton is (supposed to be) a dialect of ML embedded in Common Lisp.

汉字字符特征提取器 (featurizer)，提取汉字的特征（发音特征、字形特征）用做深度学习的特征 ｜ A Chinese character feature extractor, which extracts the features of Chinese characters (pronunciation features, glyph features) as features for deep learning

数据科学竞赛知识、代码、思路

Enhance your WordPress content with Artificial Intelligence and Machine Learning services.

CDF SIG MLOps

DepthAI Python API utilities, examples, and tutorials.

Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Open solution to the Data Science Bowl 2018

This repo is a one stop destination to find resources for learning various domains. You can find the roadmap for any domain here.

Matrix manipulation and computation library

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Prophecis is a one-stop cloud native machine learning platform.

Irken is a statically typed variant of Scheme. Or a lisp-like variant of ML.

Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)

Open solution to the Toxic Comment Classification Challenge

Arm Machine Learning tutorials and examples

Visualizer for neural network, deep learning, and machine learning models

Model Serving Made Easy

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

A repository for ebooks， including C, C plus plus, Linux Kernel, Compiler, OS, Algorithm, Security, Database, Network, ML and DL

A practical feature engineering handbook

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

A Scala API for Apache Beam and Google Cloud Dataflow.

A recommender system for discovering GitHub repos, built with Apache Spark

Pin, Discover and Share Resources

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

EvalML is an AutoML library written in python.