deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1433)
[🔥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/...
machine learning and deep learning tutorials, articles and other resources
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。
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
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
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
📺 Discover the latest machine learning / AI courses on YouTube.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go,...
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experime...
Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, an...
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filteri...
《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
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
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.
:satellite: Simple and ready-to-use tutorials for TensorFlow
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
stable diffusion webui colab
Oxford Deep NLP 2017 course
Nano vLLM
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured...
Face recognition with deep neural networks.
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learni...
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
This repository contains the source code for the paper First Order Motion Model for Image Animation
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade i...
Image augmentation for machine learning experiments.
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at R...
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Open-source simulator for autonomous driving research.
A toolkit for making real world machine learning and data analysis applications in C++
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression an...
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Face recognition using Tensorflow
Python package built to ease deep learning on graph, on top of existing DL frameworks.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
An open source implementation of CLIP.
Convert Machine Learning Code Between Frameworks
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Open Machine Learning Compiler Framework
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，...