convolutional-neural-networks

A High-Quality Real Time Upscaler for Anime Video

🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js

A MNIST-like fashion product database. Benchmark 👇

Best Practices, code samples, and documentation for Computer Vision.

all kinds of text classification models and more with deep learning

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

VIP cheatsheets for Stanford's CS 230 Deep Learning

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

A best practice for tensorflow project template architecture.

Code examples for new APIs of iOS 10.

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Simple and comprehensive tutorials in TensorFlow

PyTorch implementation of Super SloMo by Jiang et al.

TensorFlow Tutorials

Udacity Self-Driving Car Engineer Nanodegree projects.

A simple interface for editing natural photos with generative neural networks.

Image Deblurring using Generative Adversarial Networks

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

Interactive convnet features visualization for Keras

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

Convolutional Neural Networks to predict the aesthetic and technical quality of images.