Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
Stars: ✭ 20 (-89.01%)
Deep trafficMIT DeepTraffic top 2% solution (75.01 mph) 🚗.
Stars: ✭ 47 (-74.18%)
Mlcourse.aiOpen Machine Learning Course
Stars: ✭ 7,963 (+4275.27%)
SkootA package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.
Stars: ✭ 50 (-72.53%)
AutokerasAutoML library for deep learning
Stars: ✭ 8,269 (+4443.41%)
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%)
PycmMulti-class confusion matrix library in Python
Stars: ✭ 1,076 (+491.21%)
Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (-69.23%)
Rl Baselines ZooA collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Stars: ✭ 839 (+360.99%)
DataconfsA list of conferences connected with data worldwide.
Stars: ✭ 36 (-80.22%)
Php MlPHP-ML - Machine Learning library for PHP
Stars: ✭ 7,900 (+4240.66%)
BayesoSimple, but essential Bayesian optimization package
Stars: ✭ 57 (-68.68%)
ModalA modular active learning framework for Python
Stars: ✭ 1,148 (+530.77%)
Home Credit Default RiskDefault risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline
Stars: ✭ 68 (-62.64%)
Allstate capstoneAllstate Kaggle Competition ML Capstone Project
Stars: ✭ 72 (-60.44%)
PyribsA bare-bones Python library for quality diversity optimization.
Stars: ✭ 66 (-63.74%)
Mit Deep LearningTutorials, assignments, and competitions for MIT Deep Learning related courses.
Stars: ✭ 8,912 (+4796.7%)
Ml codeA repository for recording the machine learning code
Stars: ✭ 75 (-58.79%)
PhormaticsUsing A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)
Stars: ✭ 79 (-56.59%)
Data Science Resources👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
Stars: ✭ 171 (-6.04%)
MazeMaze Applied Reinforcement Learning Framework
Stars: ✭ 85 (-53.3%)
Kaggle CompetitionsThere 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.
Stars: ✭ 86 (-52.75%)
TransmogrifaiTransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
Stars: ✭ 2,084 (+1045.05%)
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%)
Ds With PysimpleguiData science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package
Stars: ✭ 93 (-48.9%)
Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Stars: ✭ 90 (-50.55%)
LimesLink Discovery Framework for Metric Spaces.
Stars: ✭ 94 (-48.35%)
AutofeatLinear Prediction Model with Automated Feature Engineering and Selection Capabilities
Stars: ✭ 178 (-2.2%)
Papers Literature Ml Dl Rl AiHighly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Stars: ✭ 1,341 (+636.81%)
Har Keras CnnHuman Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
Stars: ✭ 97 (-46.7%)
TalosHyperparameter Optimization for TensorFlow, Keras and PyTorch
Stars: ✭ 1,382 (+659.34%)
LooperA resource list for causality in statistics, data science and physics
Stars: ✭ 23 (-87.36%)
Ai PlatformAn open-source platform for automating tasks using machine learning models
Stars: ✭ 61 (-66.48%)
MlA high-level machine learning and deep learning library for the PHP language.
Stars: ✭ 1,270 (+597.8%)
Jupyterlab Prodigy🧬 A JupyterLab extension for annotating data with Prodigy
Stars: ✭ 97 (-46.7%)
RecommendersBest Practices on Recommendation Systems
Stars: ✭ 11,818 (+6393.41%)
Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Stars: ✭ 103 (-43.41%)
Deep architectA general, modular, and programmable architecture search framework
Stars: ✭ 110 (-39.56%)
BlazingsqlBlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
Stars: ✭ 1,652 (+807.69%)
DtreevizA python library for decision tree visualization and model interpretation.
Stars: ✭ 1,857 (+920.33%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+732.97%)
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%)
NasbotNeural Architecture Search with Bayesian Optimisation and Optimal Transport
Stars: ✭ 120 (-34.07%)
Ai Expert RoadmapRoadmap to becoming an Artificial Intelligence Expert in 2021
Stars: ✭ 15,441 (+8384.07%)
HypertunityA toolset for black-box hyperparameter optimisation.
Stars: ✭ 119 (-34.62%)
ModelchimpExperiment tracking for machine and deep learning projects
Stars: ✭ 121 (-33.52%)
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%)
Deeplearning NotesNotes for Deep Learning Specialization Courses led by Andrew Ng.
Stars: ✭ 126 (-30.77%)
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%)
NyokaNyoka is a Python library to export ML/DL models into PMML (PMML 4.4.1 Standard).
Stars: ✭ 127 (-30.22%)
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%)