Trending repositories for topic sklearn
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
An open source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI artifact.
《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
An open source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI artifact.
《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
An open source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI artifact.
Machine Learning inference engine for Microcontrollers and Embedded devices
Machine Learning University: Accelerated Natural Language Processing Class
《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
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...
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
This repository consists of all my Machine Learning Projects.
This project detects whether a news is fake or not using machine learning.
真实预测未来7天的天气气象数据，使用多种机器学习和深度学习LSTM算法，采集全国各省历史、实时数据（天气预报、极端天气预警、生活指数），可视化大屏，Hadoop、Spark、Hive数仓数据分析，大模型AI智能问答系统
A comprehensive collection of practical machine learning examples using popular frameworks and libraries.
（陆续更新）重新整理过的基于机器学习的股票价格预测算法，里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测，包含：LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM、随机森林等
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
This project detects whether a news is fake or not using machine learning.
An open source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI artifact.
真实预测未来7天的天气气象数据，使用多种机器学习和深度学习LSTM算法，采集全国各省历史、实时数据（天气预报、极端天气预警、生活指数），可视化大屏，Hadoop、Spark、Hive数仓数据分析，大模型AI智能问答系统
Machine Learning inference engine for Microcontrollers and Embedded devices
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...
A comprehensive collection of practical machine learning examples using popular frameworks and libraries.
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
（陆续更新）重新整理过的基于机器学习的股票价格预测算法，里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测，包含：LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM、随机森林等
《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》
This repository consists of all my Machine Learning Projects.
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
Machine Learning University: Accelerated Natural Language Processing Class
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
A comprehensive collection of practical machine learning examples using popular frameworks and libraries.
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
An open source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI artifact.
A comprehensive collection of practical machine learning examples using popular frameworks and libraries.
A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
Machine Learning inference engine for Microcontrollers and Embedded devices
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
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...
This repository consists of all my Machine Learning Projects.
Machine Learning University: Accelerated Natural Language Processing Class
《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》
Using python and scikit-learn to make stock predictions
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Indu...
A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
A comprehensive collection of practical machine learning examples using popular frameworks and libraries.
An open source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI artifact.
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
This project detects whether a news is fake or not using machine learning.
Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.
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...
Machine Learning inference engine for Microcontrollers and Embedded devices
真实预测未来7天的天气气象数据，使用多种机器学习和深度学习LSTM算法，采集全国各省历史、实时数据（天气预报、极端天气预警、生活指数），可视化大屏，Hadoop、Spark、Hive数仓数据分析，大模型AI智能问答系统
Domain adaptation toolbox compatible with scikit-learn and pytorch
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
Make use of the power of Mediapipe’s pose detection, this project is built in order to analyze, detect and classifying the forms of fitness exercises.
Web application for engineering students to predict appropriate job roles using Machine learning and other guidance material like job descriptions, links to courses, etc.
AltairCare is a machine learning/deep learning web app for disease diagnosis and prediction
This repository consists of all my Machine Learning Projects.
📝 Examples of how to use Neptune for different use cases and with various MLOps tools
A sample power system was modeled using MATLAB Simulink and all six types of faults were introduced into the transmission line of the power system. An ML classifier using 8 types model was implemented...
A comprehensive collection of practical machine learning examples using popular frameworks and libraries.
机器学习Sklearn入门指南。Machine Learning Sklearn API and Examples with Python3 and Jupyter Notebook.
真实预测未来7天的天气气象数据，使用多种机器学习和深度学习LSTM算法，采集全国各省历史、实时数据（天气预报、极端天气预警、生活指数），可视化大屏，Hadoop、Spark、Hive数仓数据分析，大模型AI智能问答系统
A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
An open source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI artifact.
Machine Learning inference engine for Microcontrollers and Embedded devices
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
Using python and scikit-learn to make stock predictions
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
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...
This repository consists of all my Machine Learning Projects.
Machine Learning University: Accelerated Natural Language Processing Class
《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
机器学习Sklearn入门指南。Machine Learning Sklearn API and Examples with Python3 and Jupyter Notebook.
Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update
An open source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI artifact.
Domain adaptation toolbox compatible with scikit-learn and pytorch
Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update
Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
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...
An efficient Python toolkit for Abductive Learning (ABL), a novel paradigm that integrates machine learning and logical reasoning in a unified framework.
AltairCare is a machine learning/deep learning web app for disease diagnosis and prediction
Make use of the power of Mediapipe’s pose detection, this project is built in order to analyze, detect and classifying the forms of fitness exercises.
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
A sample power system was modeled using MATLAB Simulink and all six types of faults were introduced into the transmission line of the power system. An ML classifier using 8 types model was implemented...
a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合
Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.
A comprehensive collection of practical machine learning examples using popular frameworks and libraries.
Machine Learning inference engine for Microcontrollers and Embedded devices
Easy-to-Use Apple Vision wrapper for text extraction, scalar representation and clustering using K-means.
Practical guide to build end-to-end machine learning pipeline and deploy your model in production,
Web application for engineering students to predict appropriate job roles using Machine learning and other guidance material like job descriptions, links to courses, etc.
