#Sklearn
Showing 60 of 167 repositories tagged #sklearn, ranked by stars
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
机器学习相关教程
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
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】
a delightful machine learning tool that allows you to train, test, and use models without writing code
Machine Learning University: Accelerated Natural Language Processing Class
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Using python and scikit-learn to make stock predictions
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
🧙 A web app to generate template code for machine learning
《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》
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
Precompiled packages for AWS Lambda
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Thousands of code solutions with clear explanation @ onelinerhub.com
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
This repository consists of all my Machine Learning Projects.
Machine Learning inference engine for Microcontrollers and Embedded devices
An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.
AI与数据科学各类工具库速查表与参考代码
A fast, robust Python library to check for offensive language in strings.
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Python package for conformal prediction
Executable memory system for tabular data work
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 Industry. [BETA]
BlocklyML is a simple visual programming Tool for python and ML. 🧩 🖥️
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
The missing bridge between your ML models and your AI agents.
为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。
[NeurIPS'25]🛠️Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
Implementation of different ML Algorithms from scratch, written in Python 3.x
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Daily Stock Forecasts using Machine Learning & Python
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in 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 Engines and more, this Python-based repository provides a comprehensive guide for mastering ML.
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
:book: 每一个伟大的思想和行动都有一个微不足道的开始
从零基础开始机器学习之旅
State-of-the art Automated Machine Learning python library for Tabular Data
Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.
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
数据分析，挖掘建模。
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
:book: [译] 数据科学和人工智能技术笔记
tiny python project
A constantly updated python machine learning cheatsheet
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
Applied Machine Learning Intensive
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
Powerful topic model visualization in Python