Popular GitHub Repositories for Constraints Clustering Algorithm

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

? Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba. Full multimodal LLM Android App:[MNN-LLM-Android](./apps/Android/MnnLlmChat/README.md)

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

An open-source, low-code machine learning library in Python

? LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Postgres with GPUs for ML/AI apps.

Code for Tensorflow Machine Learning Cookbook

Statistical Machine Intelligence & Learning Engine

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

A Python implementation of LightFM, a hybrid recommendation algorithm.

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

A collection of important graph embedding, classification and representation learning papers with implementations.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Plain python implementations of basic machine learning algorithms