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)
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and...
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
YC (S26) | Record your screen 24/7 and plug into your agents. Local, private, secure. Connect to OpenClaw, Hermes agent and 100+ apps
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
VIP cheatsheets for Stanford's CS 229 Machine Learning
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for traini...
DeepFaceLab is the leading software for creating deepfakes.
A WebGL accelerated JavaScript library for training and deploying ML models.
An open source cybersecurity protocol for syncing decentralized graph data.
邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking,...
Machine Learning Engineering Open Book
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you ho...
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/...
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and A...
machine learning and deep learning tutorials, articles and other resources
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
Datasets, Transforms and Models specific to Computer Vision
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Instant neural graphics primitives: lightning fast NeRF and more
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
📺 Discover the latest machine learning / AI courses on YouTube.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go,...
Workflow Engine for Kubernetes
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filteri...
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
A neural network that transforms a design mock-up into a static website.
Topic Modelling for Humans
Machine learning, in numpy
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-ter...
A curated list for awesome kubernetes sources :ship::tada:
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
Oxford Deep NLP 2017 course
Machine Learning Toolkit for Kubernetes
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
🦉 Data Versioning and ML Experiments
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learni...
This repository is no longer maintained.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125