A MNIST-like fashion product database. Benchmark 👇
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Updated
Jun 13, 2022 - Python
A MNIST-like fashion product database. Benchmark 👇
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
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
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
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.
PyTorch implementation of Super SloMo by Jiang et al.
Simple and comprehensive tutorials in TensorFlow
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
Image Deblurring using Generative Adversarial Networks
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
A simple interface for editing natural photos with generative neural networks.
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
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.
Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
pip install antialiased-cnns to improve stability and accuracy
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