All Projects → Mlj.jl → Similar Projects or Alternatives

8056 Open source projects that are alternatives of or similar to Mlj.jl

Flaml
A fast and lightweight AutoML library.
Stars: ✭ 205 (-79.12%)
Mutual labels:  jupyter-notebook, data-science
Tutorials
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (-79.23%)
Mutual labels:  jupyter-notebook, data-science
Radio
RadIO is a library for data science research of computed tomography imaging
Stars: ✭ 198 (-79.84%)
Mutual labels:  jupyter-notebook, data-science
Timeseries fastai
fastai V2 implementation of Timeseries classification papers.
Stars: ✭ 221 (-77.49%)
Mutual labels:  jupyter-notebook, classification
Tsfresh
Automatic extraction of relevant features from time series:
Stars: ✭ 6,077 (+518.84%)
Mutual labels:  jupyter-notebook, data-science
Just Pandas Things
An ongoing list of pandas quirks
Stars: ✭ 660 (-32.79%)
Mutual labels:  jupyter-notebook, data-science
Alphatools
Quantitative finance research tools in Python
Stars: ✭ 226 (-76.99%)
Mutual labels:  jupyter-notebook, data-science
Amazing Feature Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Stars: ✭ 218 (-77.8%)
Mutual labels:  jupyter-notebook, data-science
Kdepy
Kernel Density Estimation in Python
Stars: ✭ 244 (-75.15%)
Mutual labels:  jupyter-notebook, statistics
Smt
Surrogate Modeling Toolbox
Stars: ✭ 233 (-76.27%)
Machine-Learning-Algorithms
All Machine Learning Algorithms
Stars: ✭ 24 (-97.56%)
Mutual labels:  clustering, regression
Spark R Notebooks
R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 109 (-88.9%)
Mutual labels:  jupyter-notebook, data-science
pycobra
python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
Stars: ✭ 111 (-88.7%)
Mutual labels:  regression, ensemble-learning
R-stats-machine-learning
Misc Statistics and Machine Learning codes in R
Stars: ✭ 33 (-96.64%)
Mutual labels:  clustering, regression
needlestack
Multi-sample somatic variant caller
Stars: ✭ 45 (-95.42%)
Mutual labels:  pipeline, regression
pipeComp
A R framework for pipeline benchmarking, with application to single-cell RNAseq
Stars: ✭ 38 (-96.13%)
Mutual labels:  clustering, pipelines
R-Machine-Learning
D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.
Stars: ✭ 27 (-97.25%)
Mutual labels:  regression, classification
BAS
BAS R package https://merliseclyde.github.io/BAS/
Stars: ✭ 36 (-96.33%)
Mutual labels:  regression, predictive-modeling
STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
Stars: ✭ 94 (-90.43%)
Mutual labels:  pipeline, predictive-modeling
InstantDL
InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification
Stars: ✭ 33 (-96.64%)
Mutual labels:  regression, classification
Breast cancer classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Stars: ✭ 614 (-37.47%)
Mutual labels:  jupyter-notebook, classification
Nteract
📘 The interactive computing suite for you! ✨
Stars: ✭ 5,713 (+481.77%)
Mutual labels:  jupyter-notebook, data-science
Prediciting Binary Options
Predicting forex binary options using time series data and machine learning
Stars: ✭ 33 (-96.64%)
Mutual labels:  jupyter-notebook, classification
Python for ml
brief introduction to Python for machine learning
Stars: ✭ 29 (-97.05%)
Mutual labels:  jupyter-notebook, data-science
classification
Catalyst.Classification
Stars: ✭ 35 (-96.44%)
Mutual labels:  pipeline, classification
Python-Machine-Learning
Python Machine Learning Algorithms
Stars: ✭ 80 (-91.85%)
Mutual labels:  regression, classification
projection-pursuit
An implementation of multivariate projection pursuit regression and univariate classification
Stars: ✭ 24 (-97.56%)
Mutual labels:  regression, classification
FixedEffectjlr
R interface for Fixed Effect Models
Stars: ✭ 20 (-97.96%)
Mutual labels:  clustering, regression
pipeline-editor
Cloud Pipelines Editor is a web app that allows the users to build and run Machine Learning pipelines without having to set up development environment.
Stars: ✭ 22 (-97.76%)
Mutual labels:  pipeline, pipelines
ML2017FALL
Machine Learning (EE 5184) in NTU
Stars: ✭ 66 (-93.28%)
Mutual labels:  clustering, predictive-modeling
Servenet
Service Classification based on Service Description
Stars: ✭ 21 (-97.86%)
Mutual labels:  jupyter-notebook, classification
HAR
Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
Stars: ✭ 18 (-98.17%)
Mutual labels:  pipeline, classification
Steppy Toolkit
Curated set of transformers that make your work with steppy faster and more effective 🔭
Stars: ✭ 21 (-97.86%)
Mutual labels:  data-science, pipeline
Python Is Cool
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
Stars: ✭ 2,962 (+201.63%)
Mutual labels:  jupyter-notebook, data-science
pywedge
Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
Stars: ✭ 49 (-95.01%)
Mutual labels:  regression, classification
Islr Python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Stars: ✭ 3,344 (+240.53%)
Xlearn
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
Stars: ✭ 2,968 (+202.24%)
Mutual labels:  data-science, statistics
Sciblog support
Support content for my blog
Stars: ✭ 694 (-29.33%)
Mutual labels:  jupyter-notebook, data-science
Featexp
Feature exploration for supervised learning
Stars: ✭ 688 (-29.94%)
Mutual labels:  jupyter-notebook, data-science
H1st
The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.
Stars: ✭ 697 (-29.02%)
Mutual labels:  jupyter-notebook, data-science
2018 Machinelearning Lectures Esa
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Stars: ✭ 280 (-71.49%)
Mutual labels:  jupyter-notebook, clustering
Cryptocurrency Analysis Python
Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data
Stars: ✭ 278 (-71.69%)
Mutual labels:  jupyter-notebook, data-science
Stacking-Blending-Voting-Ensembles
This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking and Blending were made from scratch, the example for Voting was using the scikit-learn utility.
Stars: ✭ 34 (-96.54%)
Mutual labels:  ensemble-learning, stacking
Sklearn Evaluation
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
Stars: ✭ 294 (-70.06%)
Mutual labels:  jupyter-notebook, data-science
Mlens
ML-Ensemble – high performance ensemble learning
Stars: ✭ 680 (-30.75%)
Mutual labels:  ensemble-learning, stacking
Orchest
A new kind of IDE for Data Science.
Stars: ✭ 694 (-29.33%)
Mutual labels:  data-science, pipelines
Cookbook 2nd
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Stars: ✭ 704 (-28.31%)
Mutual labels:  jupyter-notebook, data-science
Autogluon
AutoGluon: AutoML for Text, Image, and Tabular Data
Stars: ✭ 3,920 (+299.19%)
Mutual labels:  data-science, ensemble-learning
Python Seminar
Python for Data Science (Seminar Course at UC Berkeley; AY 250)
Stars: ✭ 302 (-69.25%)
Mutual labels:  jupyter-notebook, data-science
Pydataroad
open source for wechat-official-account (ID: PyDataLab)
Stars: ✭ 302 (-69.25%)
Mutual labels:  jupyter-notebook, data-science
Datascience course
Curso de Data Science em Português
Stars: ✭ 294 (-70.06%)
Mutual labels:  jupyter-notebook, data-science
Notes
Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.
Stars: ✭ 710 (-27.7%)
Mutual labels:  jupyter-notebook, statistics
Industry Machine Learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Stars: ✭ 6,077 (+518.84%)
Mutual labels:  jupyter-notebook, data-science
Learn Julia The Hard Way
Learn Julia the hard way!
Stars: ✭ 679 (-30.86%)
Mutual labels:  data-science, statistics
Fecon235
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Stars: ✭ 708 (-27.9%)
Mutual labels:  jupyter-notebook, statistics
Hitchhikers Guide
The Hitchhiker's Guide to Data Science for Social Good
Stars: ✭ 732 (-25.46%)
Mutual labels:  jupyter-notebook, data-science
Machine learning refined
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
Stars: ✭ 750 (-23.63%)
Mutual labels:  jupyter-notebook, data-science
Awesome Python Data Science
Probably the best curated list of data science software in Python.
Stars: ✭ 812 (-17.31%)
Mutual labels:  data-science, statistics
Pyclustering
pyclustring is a Python, C++ data mining library.
Stars: ✭ 806 (-17.92%)
Mutual labels:  data-science, clustering
Coursera Machine Learning
Coursera Machine Learning - Python code
Stars: ✭ 815 (-17.01%)
301-360 of 8056 similar projects