datascienvdatascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
Stars: ✭ 53 (+55.88%)
Awesome Decision Tree PapersA collection of research papers on decision, classification and regression trees with implementations.
Stars: ✭ 1,908 (+5511.76%)
heatmapsBetter heatmaps in Python
Stars: ✭ 117 (+244.12%)
Track-StargazersHave fun tracking your project's stargazers
Stars: ✭ 38 (+11.76%)
MlboxMLBox is a powerful Automated Machine Learning python library.
Stars: ✭ 1,199 (+3426.47%)
TpotA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Stars: ✭ 8,378 (+24541.18%)
Python-CoursePython Basics, Machine Learning and Deep Learning
Stars: ✭ 50 (+47.06%)
Awesome GithubA curated list of awesome GitHub guides, articles, sites, tools, projects and resources. 收集这个列表,只是为了更好地使用GitHub,欢迎提交pr和issue。
Stars: ✭ 1,962 (+5670.59%)
AutoTabularAutomatic machine learning for tabular data. ⚡🔥⚡
Stars: ✭ 51 (+50%)
astetikAstetik takes away the pain from telling visual stories with data on Python
Stars: ✭ 15 (-55.88%)
Predicting real estate prices using scikit LearnPredicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
Stars: ✭ 78 (+129.41%)
Benchm MlA minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Stars: ✭ 1,835 (+5297.06%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+6361.76%)
stellarSearch your github stars in R
Stars: ✭ 24 (-29.41%)
Machine-Learning-ModelsIn This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
Stars: ✭ 30 (-11.76%)
handson-ml도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
Stars: ✭ 285 (+738.24%)
JLBoost.jlA 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
Stars: ✭ 65 (+91.18%)
Tensorflow Ml Nlp텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
Stars: ✭ 176 (+417.65%)
HyperGBMA full pipeline AutoML tool for tabular data
Stars: ✭ 172 (+405.88%)
recsys2019The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
Stars: ✭ 26 (-23.53%)
Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Stars: ✭ 103 (+202.94%)
AIML-ProjectsProjects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
Stars: ✭ 85 (+150%)
stackgbm🌳 Stacked Gradient Boosting Machines
Stars: ✭ 24 (-29.41%)
Python-Data-VisualizationD-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.
Stars: ✭ 42 (+23.53%)
alvitoAlvito - An Algorithm Visualization Tool for Python
Stars: ✭ 52 (+52.94%)
covid-19Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.
Stars: ✭ 14 (-58.82%)
Mlcourse.aiOpen Machine Learning Course
Stars: ✭ 7,963 (+23320.59%)
Ai Learn人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Stars: ✭ 4,387 (+12802.94%)
BtctradingTime Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
Stars: ✭ 99 (+191.18%)
Machine Learning In RWorkshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
Stars: ✭ 144 (+323.53%)
DtreevizA python library for decision tree visualization and model interpretation.
Stars: ✭ 1,857 (+5361.76%)
forestErrorA Unified Framework for Random Forest Prediction Error Estimation
Stars: ✭ 23 (-32.35%)
Mljar SupervisedAutomated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Stars: ✭ 961 (+2726.47%)
StackingStacked Generalization (Ensemble Learning)
Stars: ✭ 173 (+408.82%)
cqrConformalized Quantile Regression
Stars: ✭ 152 (+347.06%)
Data-Analytics-ProjectsThis repository contains the projects related to data collecting, assessing,cleaning,visualizations and analyzing
Stars: ✭ 167 (+391.18%)
psyplotPython package for interactive data visualization
Stars: ✭ 64 (+88.24%)
DeepMoveCodes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network
Stars: ✭ 120 (+252.94%)
Crawler4Caida一个致力于用Python提高部门工作自动化水平的程序库!(包括数据采集、办公自动化、辅助研究、图网络、复杂系统、3D可视化等)
Stars: ✭ 82 (+141.18%)
dlime experimentsIn this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
Stars: ✭ 21 (-38.24%)
QM-Simulator-1DInteractive simulation of a quantum particle in 1D.
Stars: ✭ 69 (+102.94%)
github-starsCurated list of my GitHub stars
Stars: ✭ 55 (+61.76%)
octoclairvoyant-webappCompare GitHub changelogs across multiple releases in a single view.
Stars: ✭ 45 (+32.35%)
data-viz-utilsFunctions for easily making publication-quality figures with matplotlib.
Stars: ✭ 16 (-52.94%)
octotui🐙🐱🖥️ GitHub stats in your terminal
Stars: ✭ 202 (+494.12%)