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 (1435)
Statistical Machine Intelligence & Learning Engine
A flexible, high-performance serving system for machine learning models
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，...
A curated list of data science blogs
A list of popular github projects related to deep learning
TensorFlow documentation
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
🎛 🔊 A Python library for audio.
Hide screen when boss is approaching.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
2027 AI/ML internship & new graduate job list updated daily
A curated list of project tutorials for project-based learning.
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Code for Tensorflow Machine Learning Cookbook
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Matlab code of machine learning algorithms in book PRML
A list of useful Java frameworks, libraries, software and hello worlds examples
A scikit-learn compatible neural network library that wraps PyTorch
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）
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
A curated list of Artificial Intelligence Top Tools
Swift for TensorFlow
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences i...
An Industrial Grade Federated Learning Framework
OpenCV wrapper for .NET
🌊 Online machine learning in Python
The Swift machine learning library.
header only, dependency-free deep learning framework in C++14
Learn AI and LLMs from scratch using free resources
A system for quickly generating training data with weak supervision
:alarm_clock: AI conference deadline countdowns
Uplift modeling and causal inference with machine learning algorithms
A Cloud Native Batch System (Project under CNCF)
Gorgonia is a library that helps facilitate machine learning in Go.
A flexible framework of neural networks for deep learning
Gluon CV Toolkit
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
Curated list of data science interview questions and answers
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
Chronos: Pretrained Models for Time Series Forecasting
Democratizing Reinforcement Learning for LLMs
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
🔥 Awesome list of resources on Web Development.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training...
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis