Statistics for topic scikit-learn
RepositoryStats tracks 595,858 Github repositories, of these 353 are tagged with the scikit-learn topic. The most common primary language for repositories using this topic is Python (184). Other languages include: Jupyter Notebook (126)
Stargazers over time for topic scikit-learn
Most starred repositories for topic scikit-learn (view more)
Trending repositories for topic scikit-learn (view more)
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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, AW...
This repository contains Dockerfiles, scripts, yaml files, Helm charts, etc. used to scale out AI containers with versions of TensorFlow and PyTorch that have been optimized for Intel platforms. Scali...
动手实战人工智能系列教程，希望从监督学习开始，带你入门机器学习和深度学习。我尝试剖析和推导每一个基础算法的原理，将数学过程写出来，同时基于 Python 代码对公式进行实现，做到公式和代码的一一对应。与此同时，我也会利用主流的开源框架重复同样的过程，帮助读者看出手动实现和主流框架实现之间的区别。
Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
This repository contains Dockerfiles, scripts, yaml files, Helm charts, etc. used to scale out AI containers with versions of TensorFlow and PyTorch that have been optimized for Intel platforms. Scali...
Welcome to Machine Learning: Zero to Hero: From the fundamentals of machine learning to advanced techniques like regressions, classification, clustering, Neural Networks, OpenCV, Recommendation Engine...
Open-source Python toolkit focused on deep learning with ordinal methodologies
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
动手实战人工智能系列教程，希望从监督学习开始，带你入门机器学习和深度学习。我尝试剖析和推导每一个基础算法的原理，将数学过程写出来，同时基于 Python 代码对公式进行实现，做到公式和代码的一一对应。与此同时，我也会利用主流的开源框架重复同样的过程，帮助读者看出手动实现和主流框架实现之间的区别。
Open-source Python toolkit focused on deep learning with ordinal methodologies
👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Python Data Science Handbook: full text in Jupyter Notebooks
Python library for portfolio optimization built on top of scikit-learn
动手实战人工智能系列教程，希望从监督学习开始，带你入门机器学习和深度学习。我尝试剖析和推导每一个基础算法的原理，将数学过程写出来，同时基于 Python 代码对公式进行实现，做到公式和代码的一一对应。与此同时，我也会利用主流的开源框架重复同样的过程，帮助读者看出手动实现和主流框架实现之间的区别。
Open-source Python toolkit focused on deep learning with ordinal methodologies
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