machine-learning
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.
Repositories (1432)
Visualizer for neural network, deep learning and machine learning models
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover...
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Roadmap to becoming an Artificial Intelligence Expert in 2022
Real-time face swap for PC streaming or video calls
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interac...
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
:memo: An awesome Data Science repository to learn and apply for real world problems.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT...
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matpl...
Python scraper based on AI
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutoria...
A complete daily plan for studying to become a machine learning engineer.
A curated list of awesome Deep Learning tutorials, projects and communities.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Had...
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
The fastai deep learning library
Machine Learning Systems
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize p...
The Modular Platform (includes MAX & Mojo)
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 t...
The most cited deep learning papers
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflow...
南瓜书：《机器学习》（西瓜书）公式详解
A game theoretic approach to explain the output of any machine learning model.
Production-grade Rust-native trading engine with deterministic event-driven architecture
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
The fastai book, published as Jupyter Notebooks
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和...
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Learn OpenCV : C++ and Python Examples
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP...
CVPR 2026 论文和开源项目合集
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as...
100-Days-Of-ML-Code中文版
☁️ Build multimodal AI applications with cloud-native stack
Best Practices on Recommendation Systems
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运...
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
Open standard for machine learning interoperability