Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM)
Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.
This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
Efficient, transparent deep learning in hundreds of lines of code.
A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
A small convolution neural network deep learning framework implemented in c++.
LCNN: End-to-End Wireframe Parsing
Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Tengine is a lite, high performance, modular inference engine for embedded device
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
Transfer Learning Suite
Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Facelet-Bank for Fast Portrait Manipulation (pytorch)
Screenshot To Code
A neural network that transforms a design mock-up into a static website.
Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
A simple Spatial Pyramid Pooling layer which could be added in CNN
DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020
TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation
Density-aware Single Image De-raining using a Multi-stream Dense Network (CVPR 2018)
Cnn Re Tf
Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow
A simple, flexible, and extensible template for PyTorch. It's beautiful.
Predicting depression from acoustic features of speech using a Convolutional Neural Network.