There are 94 repositories under convolutional-neural-networks topic.
A High-Quality Real Time Upscaler for Anime Video
A MNIST-like fashion product database. Benchmark :point_down:
Best Practices, code samples, and documentation for Computer Vision.
all kinds of text classification models and more with deep learning
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Techniques for deep learning with satellite & aerial imagery
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
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
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.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
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.
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.
Code examples for new APIs of iOS 10.
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Simple and comprehensive tutorials in TensorFlow
PyTorch implementation of Super SloMo by Jiang et al.
Udacity Self-Driving Car Engineer Nanodegree projects.
Image Deblurring using Generative Adversarial Networks
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
A simple interface for editing natural photos with generative neural networks.
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.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
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
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Interactive convnet features visualization for Keras
Text Classification Algorithms: A Survey
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation