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)
Learning to Rank in TensorFlow
Learning Chinese Character style with conditional GAN
Unsupervised Learning for Image Registration
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
Microsoft Distributed Machine Learning Toolkit
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！
Analytics, Versioning and ETL for multimodal data: video, audio, PDFs, images
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
Machine learning tools in JavaScript
Control Any Computer Using LLMs.
Multi-tool for semantic search
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
A unified framework for privacy-preserving data analysis and machine learning
MLNLP：本仓库整理人工智能会议（如 ACL、EMNLP、NAACL、COLING、AAAI、IJCAI、ICLR、NeurIPS、ICML 等）中开源代码的论文。
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
Resource scheduling and cluster management for AI
Pen and paper exercises in machine learning
A toolkit to run Ray applications on Kubernetes
🐝 A fast, easy and collaborative open source image annotation tool for teams and individuals.
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
Algorithms for explaining machine learning models
computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
✨ Build a machine learning model from a prompt
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
Machine learning platform for Web developers
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
Puzzles for learning Triton
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Ru...
Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, a...
Android Application Identifier for Packers, Protectors, Obfuscators and Oddities - PEiD for Android
🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai
:book: [译] 面向机器学习的特征工程
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,...
Single-cell analysis in Python. Scales to >100M cells.
Deep Learning Server and CLI for Torch and TensorRT
NLP made easy
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
Use Hugging Face with JavaScript
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
10x faster matrix and vector operations
YoloV3 Implemented in Tensorflow 2.0
Time Series Forecasting Best Practices & Examples
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2...
Fast ML inference & training for ONNX models in Rust
Summaries of machine learning papers
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations