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

🎎 InfoGAN: Interpretable Representation Learning

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

A stable algorithm for GAN training

Simple Convolutional Neural Network Library

Fast & scalable MCMC for all your exoplanet needs!

Spectral Normalization for Keras Dense and Convolution Layers

Image, GIF and Video enlarger/upscaler achieved with waifu2x and Anime4K. [NO LONGER UPDATED]

Top 200 deep learning Github repositories sorted by the number of stars.

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

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

Expressions and dataframes with statistical details 📉 📜🔣✅

Fast and Easy Infinite Neural Networks in Python

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

A qualitative probabilistic programming language based on ranking theory

Be Driven 🚘

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Fast Neural Style Transfer implementation in PyTorch 🎨 🎨 🎨

Coherent Semantic Attention for image inpainting(ICCV 2019)

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Real time face alignment

Mongolian speech recognition with PyTorch

PyTorch tutorial for learners

A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision

This project has moved to https://git.dynare.org/Dynare/dynare

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Infer.NET is a framework for running Bayesian inference in graphical models

SHAInet - a pure Crystal machine learning library

The base NIMBLE package for R

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.

Convolutional Neural Networks for Cardiac Segmentation

Quantization of Convolutional Neural networks.

A Python package for building Bayesian models with TensorFlow or PyTorch

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

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Scalable inference for a generative model of astronomical images

Image Tampering Detection using ELA and CNN

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

AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)

Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."

Pytorch implementation for LapSRN (CVPR2017)

Awesome Resources for Advanced Computer Vision Topics

Anime Generation

DCGAN image generator 🖼️.

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

R interface to the keras library

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

Text to Speech with PyTorch (English and Mongolian)

Implementation of Very Deep Convolutional Neural Network for Text Classification

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

Rethinking Image Inpainting via a Mutual Encoder Decoder with Feature Equalizations. ECCV 2020 Oral

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

PyTorch on Super Resolution

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Masking GAN - Image attribute mask generation