Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
TranslatedHand-written implementations of all the algorithms in Li Hang's book "Statistical Learning Methods" (《统计学习方法》)
Minimal and clean examples of machine learning algorithms implementations
A resource for learning about Machine learning & Deep Learning
:speech_balloon: Machine Learning Course with Python:
NVIDIA cuML: GPU-Accelerated Machine Learning
The machine learning toolkit for time series analysis in Python
a delightful machine learning tool that allows you to train, test, and use models without writing code
StellarGraph - Machine Learning on Graphs
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.
A curated list of Monte Carlo tree search papers with implementations.
🎯 A comprehensive gradient-free optimization framework written in Python
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
A fast xgboost feature selection algorithm