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Search results for machine learning scikit learn
machine-learning
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scikit-learn
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615 search results found
Ml For Beginners
⭐
63,698
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Scikit Learn
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57,160
scikit-learn: machine learning in Python
100 Days Of Ml Code
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42,417
100 Days of ML Coding
Data Science Ipython Notebooks
⭐
25,668
Data 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.
Handson Ml
⭐
25,036
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Onnx
⭐
16,275
Open standard for machine learning interoperability
Best Of Ml Python
⭐
14,990
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Virgilio
⭐
13,515
Your new Mentor for Data Science E-Learning.
Onnxruntime
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11,668
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Python Machine Learning Book
⭐
11,645
The "Python Machine Learning (1st edition)" book code repository and info resource
Tpot
⭐
9,463
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Mlcourse.ai
⭐
9,338
Open Machine Learning Course
Sktime
⭐
7,174
A unified framework for machine learning with time series
Featuretools
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6,986
An open source python library for automated feature engineering
Autogluon
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6,976
AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data
Interpret
⭐
5,962
Fit interpretable models. Explain blackbox machine learning.
Python Machine Learning Book 2nd Edition
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5,944
The "Python Machine Learning (2nd edition)" book code repository and info resource
Skorch
⭐
5,596
A scikit-learn compatible neural network library that wraps PyTorch
Sklearn Doc Zh
⭐
4,973
📖 [译] scikit-learn(sklearn) 中文文档
Orange3
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4,469
🍊 📊 💡 Orange: Interactive data analysis
Machine_learning_complete
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4,296
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Pipeline
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4,158
PipelineAI
Yellowbrick
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4,102
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Machinelearning
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4,030
My blogs and code for machine learning. http://cnblogs.com/pinard
Python Machine Learning Book 3rd Edition
⭐
3,897
The "Python Machine Learning (3rd edition)" book code repository
Flower
⭐
3,545
Flower: A Friendly Federated Learning Framework
Flaml
⭐
3,500
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Artificial Intelligence Deep Learning Machine Learning Tutorials
⭐
3,436
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
God Level Data Science Ml Full Stack
⭐
3,384
A collection of scientific methods, processes, algorithms, and systems to build stories & models. Whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI
Hummingbird
⭐
3,268
Hummingbird compiles trained ML models into tensor computation for faster inference.
Ml Workspace
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3,197
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Scikit Learn Videos
⭐
3,180
Jupyter notebooks from the scikit-learn video series
Igel
⭐
3,037
a delightful machine learning tool that allows you to train, test, and use models without writing code
Machine Learning With Python
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2,972
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Mljar Supervised
⭐
2,867
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Scikit Llm
⭐
2,775
Seamlessly integrate LLMs into scikit-learn.
Dtreeviz
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2,720
A python library for decision tree visualization and model interpretation.
Data Science Best Resources
⭐
2,718
Carefully curated resource links for data science in one place
Scikit Optimize
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2,700
Sequential model-based optimization with a `scipy.optimize` interface
Eli5
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2,695
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Mars
⭐
2,664
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Machine Learning Book
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2,474
Code Repository for Machine Learning with PyTorch and Scikit-Learn
M2cgen
⭐
2,411
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Scikit Plot
⭐
2,277
An intuitive library to add plotting functionality to scikit-learn objects.
Awesome Python Data Science
⭐
2,126
Probably the best curated list of data science software in Python.
Projectlearn Project Based Learning
⭐
2,074
A curated list of project tutorials for project-based learning.
Modal
⭐
2,057
A modular active learning framework for Python
Practical Machine Learning With Python
⭐
2,054
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Feature_engine
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1,651
Feature engineering package with sklearn like functionality
Pysr
⭐
1,580
High-Performance Symbolic Regression in Python and Julia
Data Science Complete Tutorial
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1,575
For extensive instructor led learning
Autoviz
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1,550
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Dat8
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1,549
General Assembly's 2015 Data Science course in Washington, DC
Auto_ml
⭐
1,442
[UNMAINTAINED] Automated machine learning for analytics & production
Gplearn
⭐
1,441
Genetic Programming in Python, with a scikit-learn inspired API
Scikit Learn Tips
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1,393
🤖⚡ 50 scikit-learn tips
Jetson Containers
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1,388
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Hyperlearn
⭐
1,387
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Metric Learn
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1,353
Metric learning algorithms in Python
Xcessiv
⭐
1,232
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Imodels
⭐
1,229
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Hands On Machine Learning
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1,201
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Traingenerator
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1,184
🧙 A web app to generate template code for machine learning
Machine Learning With Python
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1,155
Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!
Sklearn Porter
⭐
1,150
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
Scikit Learn Intelex
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1,116
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Scikit Lego
⭐
1,099
Extra blocks for scikit-learn pipelines.
Sparkit Learn
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1,054
PySpark + Scikit-learn = Sparkit-learn
Spark Sklearn
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1,039
(Deprecated) Scikit-learn integration package for Apache Spark
Scikit Survival
⭐
1,027
Survival analysis built on top of scikit-learn
Alphapy
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1,003
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
Scikit Learn Mooc
⭐
963
Machine learning in Python with scikit-learn MOOC
Windows Machine Learning
⭐
945
Samples and Tools for Windows ML.
Nolearn
⭐
939
Combines the ease of use of scikit-learn with the power of Theano/Lasagne
Otto
⭐
913
Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub
Onnxmltools
⭐
896
ONNXMLTools enables conversion of models to ONNX
Scikit Multilearn
⭐
855
A scikit-learn based module for multi-label et. al. classification
Machinelearningstocks
⭐
851
Using python and scikit-learn to make stock predictions
Data Science Portfolio
⭐
833
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Code
⭐
802
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Skforecast
⭐
792
Time series forecasting with scikit-learn models
Human Learn
⭐
759
Natural Intelligence is still a pretty good idea.
Aeon
⭐
723
A toolkit for conducting machine learning tasks with time series data
Scikit Multiflow
⭐
700
A machine learning package for streaming data in Python. The other ancestor of River.
Skfolio
⭐
699
Python library for portfolio optimization built on top of scikit-learn
Deep Learning Wizard
⭐
664
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.
Giotto Tda
⭐
658
A high-performance topological machine learning toolbox in Python
Datacamp Python Data Science Track
⭐
655
All the slides, accompanying code and exercises all stored in this repo. 🎈
Actionai
⭐
649
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
Hyperparameter_hunter
⭐
635
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Concrete Ml
⭐
607
Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.
Eland
⭐
588
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Baikal
⭐
573
A graph-based functional API for building complex scikit-learn pipelines.
Mlserver
⭐
552
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Skll
⭐
552
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
Neuraxle
⭐
533
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
Scikitlearn.jl
⭐
522
Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
Amazing Feature Engineering
⭐
485
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.
Palladium
⭐
479
Framework for setting up predictive analytics services
Hyperactive
⭐
475
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
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