Orange3🍊 📊 💡 Orange: Interactive data analysis
Stars: ✭ 3,152 (+45.79%)
Go Chartjsgolang library to make https://chartjs.org/ plots (this is vanilla #golang, not gopherjs)
Stars: ✭ 42 (-98.06%)
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 (-97.69%)
AlphapyAutomated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
Stars: ✭ 564 (-73.91%)
Uplot📈 A small, fast chart for time series, lines, areas, ohlc & bars
Stars: ✭ 6,808 (+214.89%)
Mljar SupervisedAutomated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Stars: ✭ 961 (-55.55%)
Mlcourse.aiOpen Machine Learning Course
Stars: ✭ 7,963 (+268.32%)
Highcharts ChartPolymer Element wrapper for highcharts library. Seamlessly create various types of charts from one element.
Stars: ✭ 97 (-95.51%)
XcessivA web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Stars: ✭ 1,255 (-41.95%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (-29.88%)
PalladiumFramework for setting up predictive analytics services
Stars: ✭ 481 (-77.75%)
Lets PlotAn open-source plotting library for statistical data.
Stars: ✭ 531 (-75.44%)
AdjusttextA small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.
Stars: ✭ 731 (-66.19%)
BaikalA graph-based functional API for building complex scikit-learn pipelines.
Stars: ✭ 573 (-73.5%)
Model Describermodel-describer : Making machine learning interpretable to humans
Stars: ✭ 22 (-98.98%)
Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
Stars: ✭ 20 (-99.07%)
Hyperlearn50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
Stars: ✭ 1,204 (-44.31%)
GgplotnimA port of ggplot2 for Nim
Stars: ✭ 95 (-95.61%)
ProcDisplay and analyze ROC curves in R and S+
Stars: ✭ 85 (-96.07%)
Qlik Py ToolsData Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Stars: ✭ 135 (-93.76%)
Best Of Ml Python🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Stars: ✭ 6,057 (+180.16%)
Data Science Ipython NotebooksData science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Stars: ✭ 22,048 (+919.8%)
Data Science PortfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Stars: ✭ 559 (-74.14%)
Machinejs[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
Stars: ✭ 412 (-80.94%)
Hyperparameter hunterEasy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Stars: ✭ 648 (-70.03%)
FeaturetoolsAn open source python library for automated feature engineering
Stars: ✭ 5,891 (+172.48%)
ScottplotInteractive Plotting Library for .NET
Stars: ✭ 736 (-65.96%)
SktimeA unified framework for machine learning with time series
Stars: ✭ 4,741 (+119.29%)
FoxcrossAsyncIO serving for data science models
Stars: ✭ 18 (-99.17%)
Python for mlbrief introduction to Python for machine learning
Stars: ✭ 29 (-98.66%)
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 (-62.03%)
BubblyA python package for plotting animated and interactive bubble charts using Plotly
Stars: ✭ 37 (-98.29%)
MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-98.38%)
Sklearn PorterTranspile trained scikit-learn estimators to C, Java, JavaScript and others.
Stars: ✭ 1,014 (-53.1%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (-84.04%)
GgthemesAdditional themes, scales, and geoms for ggplot2
Stars: ✭ 1,107 (-48.8%)
Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Stars: ✭ 90 (-95.84%)
PlottersA rust drawing library for high quality data plotting for both WASM and native, statically and realtimely 🦀 📈🚀
Stars: ✭ 1,287 (-40.47%)
ImplotImmediate Mode Plotting
Stars: ✭ 2,014 (-6.85%)
Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (-97.41%)
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 (+400%)
Nim Plotlyplotting library for nim-lang
Stars: ✭ 121 (-94.4%)
Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
Stars: ✭ 1,559 (-27.89%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+8.09%)
TermplotlibPlotting on the command line
Stars: ✭ 294 (-86.4%)
Scikit Learn VideosJupyter notebooks from the scikit-learn video series
Stars: ✭ 3,254 (+50.51%)
TpotA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Stars: ✭ 8,378 (+287.51%)
Hephep is the mono repository holding all of go-hep.org/x/hep packages and tools
Stars: ✭ 146 (-93.25%)