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 :point_down:

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

Techniques for deep learning with satellite & aerial imagery

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

all kinds of text classification models and more with deep learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

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

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

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

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

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.

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

A best practice for tensorflow project template architecture.

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.

Code examples for new APIs of iOS 10.

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

PyTorch implementation of Super SloMo by Jiang et al.

Udacity Self-Driving Car Engineer Nanodegree projects.

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Simple and comprehensive tutorials in TensorFlow

Image Deblurring using Generative Adversarial Networks

TensorFlow Tutorials

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.

High-efficiency floating-point neural network inference operators for mobile, server, and Web