An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
-
Updated
Jul 3, 2024 - Python
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
手写实现李航《统计学习方法》书中全部算法
Minimal and clean examples of machine learning algorithms implementations
A resource for learning about Machine learning & Deep Learning
💬 Machine Learning Course with Python:
a delightful machine learning tool that allows you to train, test, and use models without writing code
StellarGraph - Machine Learning on Graphs
The machine learning toolkit for time series analysis in Python
记录cv算法工程师的成长之路,分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
A modular active learning framework for Python
An open-source Python framework for hybrid quantum-classical machine learning.
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
AI for GNU Image Manipulation Program
Implementation of the node2vec algorithm.
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
WTTE-RNN a framework for churn and time to event prediction
A curated list of Monte Carlo tree search papers with implementations.