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)
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reduction...
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
TensorFlow tutorials and best practices.
:octocat: Machine Learning for Cyber Security
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
A curated list of awesome embedded programming.
Build your neural network easy and fast, 莫烦Python中文教学
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
A resource for learning about Machine learning & Deep Learning
Caffe2 is a lightweight, modular, and scalable deep learning framework.
A collection of libraries to optimise AI model performances
Trax — Deep Learning with Clear Code and Speed
StarCraft II Learning Environment
Uniform Manifold Approximation and Projection
Accessible large language models via k-bit quantization for PyTorch.
告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 https://ai-jupyter.com
BoxMOT: Pluggable SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language...
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
BertViz: Visualize Attention in Transformer Models
Production infrastructure for machine learning at scale
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
A self-hosted open source photo management service.
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
An open source python library for automated feature engineering
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experime...
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Genera...
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular dat...
Visualizations for machine learning datasets
A customisable 3D platform for agent-based AI research
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
The "Python Machine Learning (2nd edition)" book code repository and info resource
Real-Time High-Resolution Background Matting
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
🔮 Libraries & tools for enabling Machine Learning driven user-experiences on the web
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Python code for "Probabilistic Machine learning" book by Kevin Murphy