Open source demosA collection of demos showcasing automated feature engineering and machine learning in diverse use cases
Stars: ✭ 391 (+114.84%)
Opytimizer🐦 Opytimizer is a Python library consisting of meta-heuristic optimization techniques.
Stars: ✭ 387 (+112.64%)
Ds With PysimpleguiData science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package
Stars: ✭ 93 (-48.9%)
TalosHyperparameter Optimization for TensorFlow, Keras and PyTorch
Stars: ✭ 1,382 (+659.34%)
Ai Expert RoadmapRoadmap to becoming an Artificial Intelligence Expert in 2021
Stars: ✭ 15,441 (+8384.07%)
MarsMars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Stars: ✭ 2,308 (+1168.13%)
SktimeA unified framework for machine learning with time series
Stars: ✭ 4,741 (+2504.95%)
Mli ResourcesH2O.ai Machine Learning Interpretability Resources
Stars: ✭ 428 (+135.16%)
Rosie🤖 Python application responsible for Serenata de Amor's intelligence
Stars: ✭ 420 (+130.77%)
NeuraxleA Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
Stars: ✭ 377 (+107.14%)
BlazingsqlBlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
Stars: ✭ 1,652 (+807.69%)
Awesome Machine Learning In CompilersMust read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
Stars: ✭ 168 (-7.69%)
LazynlpLibrary to scrape and clean web pages to create massive datasets.
Stars: ✭ 1,985 (+990.66%)
PalladiumFramework for setting up predictive analytics services
Stars: ✭ 481 (+164.29%)
Deep architectA general, modular, and programmable architecture search framework
Stars: ✭ 110 (-39.56%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+732.97%)
Scikit OptGenetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
Stars: ✭ 2,791 (+1433.52%)
Data ScienceCollection of useful data science topics along with code and articles
Stars: ✭ 315 (+73.08%)
Solid🎯 A comprehensive gradient-free optimization framework written in Python
Stars: ✭ 546 (+200%)
OpenscoringREST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
Stars: ✭ 536 (+194.51%)
HypertunityA toolset for black-box hyperparameter optimisation.
Stars: ✭ 119 (-34.62%)
Data Science CompetitionsGoal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Stars: ✭ 572 (+214.29%)
DeephyperDeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Stars: ✭ 117 (-35.71%)
Boml Bilevel Optimization Library in Python for Multi-Task and Meta Learning
Stars: ✭ 120 (-34.07%)
FeatexpFeature exploration for supervised learning
Stars: ✭ 688 (+278.02%)
Sci PypeA Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.
Stars: ✭ 90 (-50.55%)
DtreevizA python library for decision tree visualization and model interpretation.
Stars: ✭ 1,857 (+920.33%)
NasbotNeural Architecture Search with Bayesian Optimisation and Optimal Transport
Stars: ✭ 120 (-34.07%)
ModelchimpExperiment tracking for machine and deep learning projects
Stars: ✭ 121 (-33.52%)
Querido Diario📰 Brazilian government gazettes, accessible to everyone.
Stars: ✭ 681 (+274.18%)
Machine Learning With PythonSmall scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!
Stars: ✭ 821 (+351.1%)
InterpretFit interpretable models. Explain blackbox machine learning.
Stars: ✭ 4,352 (+2291.21%)
Rl Baselines ZooA collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Stars: ✭ 839 (+360.99%)
LooperA resource list for causality in statistics, data science and physics
Stars: ✭ 23 (-87.36%)
Feagen(deprecated) A fast and memory-efficient Python data engineering framework for machine learning.
Stars: ✭ 33 (-81.87%)
Mlcourse.aiOpen Machine Learning Course
Stars: ✭ 7,963 (+4275.27%)
Model Describermodel-describer : Making machine learning interpretable to humans
Stars: ✭ 22 (-87.91%)
Sklearn PorterTranspile trained scikit-learn estimators to C, Java, JavaScript and others.
Stars: ✭ 1,014 (+457.14%)
Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
Stars: ✭ 8,214 (+4413.19%)
Gd UapGeneralized Data-free Universal Adversarial Perturbations
Stars: ✭ 50 (-72.53%)
Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
Stars: ✭ 42 (-76.92%)
Stock PredictionSmart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon
Stars: ✭ 125 (-31.32%)
NyokaNyoka is a Python library to export ML/DL models into PMML (PMML 4.4.1 Standard).
Stars: ✭ 127 (-30.22%)
Php MlPHP-ML - Machine Learning library for PHP
Stars: ✭ 7,900 (+4240.66%)
Home Credit Default RiskDefault risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline
Stars: ✭ 68 (-62.64%)
PyribsA bare-bones Python library for quality diversity optimization.
Stars: ✭ 66 (-63.74%)
Allstate capstoneAllstate Kaggle Competition ML Capstone Project
Stars: ✭ 72 (-60.44%)
PysotSurrogate Optimization Toolbox for Python
Stars: ✭ 136 (-25.27%)
Deeplearning NotesNotes for Deep Learning Specialization Courses led by Andrew Ng.
Stars: ✭ 126 (-30.77%)
Qlik Py ToolsData Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Stars: ✭ 135 (-25.82%)
Scikit PlotAn intuitive library to add plotting functionality to scikit-learn objects.
Stars: ✭ 2,162 (+1087.91%)
BoostarootaA fast xgboost feature selection algorithm
Stars: ✭ 165 (-9.34%)
Dive Into Machine LearningDive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.
Stars: ✭ 10,810 (+5839.56%)