neural-network
Repositories (1277)
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，...
A flexible, high-performance serving system for machine learning models
Code for Tensorflow Machine Learning Cookbook
header only, dependency-free deep learning framework in C++14
A flexible framework of neural networks for deep learning
Gorgonia is a library that helps facilitate machine learning in Go.
Gluon CV Toolkit
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...
A general-purpose encoder-decoder framework for Tensorflow
😎 Finding duplicate images made easy!
Publication-ready NN-architecture schematics.
A C++ standalone library for machine learning
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Supercharge Your Model Training
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope y...
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
Rust bindings for the C++ api of PyTorch.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
An Engine-Agnostic Deep Learning Framework in Java
Machine learning, computer vision, statistics and general scientific computing for .NET
【干货】史上最全的PyTorch学习资源汇总
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Lightning fast C++/CUDA neural network framework
Plain python implementations of basic machine learning algorithms
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
[ICCV 2019] Monocular depth estimation from a single image
A JavaScript deep learning and reinforcement learning library.
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
Fast, distributed, secure AI for Big Data
Data Science Roadmap from A to Z
PipelineAI
NeuralProphet: A simple forecasting package
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Ma...
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Ne...
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
Facilitating the design, comparison and sharing of deep text matching models.
💁♀️Your new best friend powered by an artificial neural network
<Beat AI> 又名 <零生万物> , 是一本专属于软件开发工程师的 AI 入门圣经，手把手带你上手写 AI。从神经网络到大模型，从高层设计到微观原理，从工程实现到算法...
Scalable and user friendly neural :brain: forecasting algorithms.
A best practice for tensorflow project template architecture.
[CVPR2020] Adversarial Latent Autoencoders
An unnecessarily tiny implementation of GPT-2 in NumPy.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activi...
A library for scientific machine learning and physics-informed learning
Practice and tutorial-style notebooks covering wide variety of machine learning techniques