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 (1414)
A list of popular github projects related to deep learning
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
🎛 🔊 A Python library for audio.
AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）
An Industrial Grade Federated Learning Framework
The Swift machine learning library.
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences i...
header only, dependency-free deep learning framework in C++14
:alarm_clock: AI conference deadline countdowns
OpenCV wrapper for .NET
A system for quickly generating training data with weak supervision
🧮 A collection of resources to learn mathematics for machine learning
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Gluon CV Toolkit
A flexible framework of neural networks for deep learning
Gorgonia is a library that helps facilitate machine learning in Go.
Open-source offline translation library written in Python
Uplift modeling and causal inference with machine learning algorithms
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
A curated list of project tutorials for project-based learning.
🌊 Online machine learning in Python
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple inte...
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
🔥 Awesome list of resources on Web Development.
A model-driven approach to building AI agents in just a few lines of code.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training...
Publication-ready NN-architecture schematics.
mlpack: a fast, header-only C++ machine learning library
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Curated list of data science interview questions and answers
Deep Reinforcement Learning for Keras.
Play couplet with seq2seq model. 用深度学习对对联。
A Cloud Native Batch System (Project under CNCF)
Supercharge Your Model Training
Rust language bindings for TensorFlow
Democratizing Reinforcement Learning for LLMs
A C++ standalone library for machine learning
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
A supercharged version of paperless: scan, index and archive all your physical documents
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Learn AI and LLMs from scratch using free resources
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Rust bindings for the C++ api of PyTorch.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-t...
Language Technology Platform
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
A PyTorch Implementation of Single Shot MultiBox Detector
:book: [译] scikit-learn（sklearn） 中文文档