#Neural-network
Showing 60 of 2041 repositories tagged #neural-network, ranked by stars
An Open Source Machine Learning Framework for Everyone
Tensors and Dynamic neural networks in Python with strong GPU acceleration
💫 Industrial-strength Natural Language Processing (NLP) in Python
Visualizer for neural network, deep learning and machine learning models
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Roadmap to becoming an Artificial Intelligence Expert in 2022
A curated list of awesome Deep Learning tutorials, projects and communities.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
ncnn is a high-performance neural network inference framework optimized for the mobile platform
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
Open standard for machine learning interoperability
A WebGL accelerated JavaScript library for training and deploying ML models.
machine learning and deep learning tutorials, articles and other resources
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Instant neural graphics primitives: lightning fast NeRF and more
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Topic Modelling for Humans
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
机器学习相关教程
The "Python Machine Learning (1st edition)" book code repository and info resource
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
Low-code framework for building custom LLMs, neural networks, and other AI models
🐍 Geometric Computer Vision Library for Spatial AI
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ (no longer working)
Deep learning library featuring a higher-level API for TensorFlow.
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
TensorFlow Tutorials with YouTube Videos
TensorFlow tutorials and best practices.
Build your neural network easy and fast, 莫烦Python中文教学
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
BertViz: Visualize Attention in Transformer Models
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Efficiently computes derivatives of NumPy code.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Friendly machine learning for the web! 🤖
A flexible, high-performance serving system for machine learning models
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，实战教程。
Code for Tensorflow Machine Learning Cookbook
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
header only, dependency-free deep learning framework in C++14
Gorgonia is a library that helps facilitate machine learning in Go.
Gluon CV Toolkit
A flexible framework of neural networks for deep learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Publication-ready NN-architecture schematics.
😎 Finding duplicate images made easy!
A general-purpose encoder-decoder framework for Tensorflow
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Supercharge Your Model Training
A C++ standalone library for machine learning
Rust bindings for the C++ api of PyTorch.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation