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 👇

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

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

Techniques for deep learning with satellite & aerial imagery

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.

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

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.

A best practice for tensorflow project template architecture.

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

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

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.