1132 Open source projects that are alternatives of or similar to Master Thesis Bayesiancnn

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

Official repository of JSI-GAN (Accepted at AAAI 2020).

A modern PyTorch implementation of SRGAN

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

A curated list of dedicated resources and applications

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Deep learning codes and projects using Python

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Using Machine Learning to predict the type of exercise from movement data

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Awesome GAN for Medical Imaging

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)

Super Resolution of picture images using deep learning

videos, lectures, blogs for Deep Learning

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

This toolbox is support material for the book on CNN (http://www.convolution.network).

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

Code for "A-NICE-MC: Adversarial Training for MCMC"

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

Bayes by Backprop implemented in a CNN in PyTorch

OpenMMLab Image and Video Editing Toolbox

A High-Quality Real Time Upscaler for Anime Video

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

Simplify the training and tuning of Tensorflow models

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

Neural networks toolbox focused on medical image analysis

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

A generalized gradient-based CNN visualization technique

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

Coherent Semantic Attention for image inpainting(ICCV 2019)

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

Build a CNN network to predict 3D bounding box of car from 2D image.

Pytorch implementation for LapSRN (CVPR2017)

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

CNN image style transfer 🎨.

3D image classification using CNN (Convolutional Neural Network)

A collection of arbitrary text to image papers with code (constantly updating)

Topic-Aware Convolutional Neural Networks for Extreme Summarization

This is a Tensorflow implementations of paper "Deep Alignment Network: A convolutional neural network for robust face alignment".

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)