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

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

Differentiable architecture search for convolutional and recurrent networks

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Image Deblurring using Generative Adversarial Networks

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、reg…

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

CNN visualization tool in TensorFlow

Fully Convlutional Neural Networks for state-of-the-art time series classification

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

U-Net: Convolutional Networks for Biomedical Image Segmentation

Curated Tensorflow code resources to help you get started with Deep Learning.

Outdated, see new https://github.com/braindecode/braindecode

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

Naszilla is a Python library for neural architecture search (NAS)

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"

PyTorch implementation of several SSD based object detection algorithms.

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)