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

Simplify the training and tuning of Tensorflow models

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

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

Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"

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

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

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

Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

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 generative adversarial imitation learning

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)

Auxiliary Classifier Generative Adversarial Networks in Keras

Video super resolution implemented in Pytorch

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

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

GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

Coherent Semantic Attention for image inpainting(ICCV 2019)

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

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

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

Pytorch implementation for LapSRN (CVPR2017)

DCGAN image generator 🖼️.

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

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

CNN image style transfer 🎨.

A specially designed light version of Fast AutoAugment

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

A simple interface for editing natural photos with generative neural networks.

Topic-Aware Convolutional Neural Networks for Extreme Summarization

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Repository has been moved: https://github.com/adobe/antialiased-cnns

CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

Image reconstruction done with untrained neural networks.

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

Some of my scripts to automate the boring stuff around me

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

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

keras project that parses and analyze english resumes

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

A journey into Convolutional Neural Network visualization

ELFI - Engine for Likelihood-Free Inference

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

Simulation-based inference in PyTorch

This's an implementation of deepmind Visual Interaction Networks paper using pytorch

(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Dynamic Image Networks for Action Recognition

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

MetalImage is more faster and powerful than opengles for iOS. It is very similar to GPUImage framework, but perform a better 3D rendering and multithreads computing abilities.