joetting

joetting's Stars

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX21.9k2271222.9k

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k2752253.1k

• mmp/pbrt-v4

  Source code to pbrt, the ray tracer described in the forthcoming 4th edition of the "Physically Based Rendering: From Theory to Implementation" book.

  Language:C++2.8k69324440

• berthubert/googerteller

  audible feedback on just how much your browsing feeds into google

  Language:C++2.2k2620108

• GenericMappingTools/gmt

  The Generic Mapping Tools

  Language:C844402.4k353

• chenhsuanlin/bundle-adjusting-NeRF

  BARF: Bundle-Adjusting Neural Radiance Fields 🤮 (ICCV 2021 oral)

  Language:Python7871283113

• CompVis/vunet

  A generative model conditioned on shape and appearance.

  Language:Python5032436105

• Schlumberger/joint-vae

  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

  Language:Jupyter Notebook46020362

• modern-fortran/neural-fortran

  A parallel framework for deep learning

  Language:Fortran401269282

• joethei/obsidian-rss

  Read RSS Feeds from inside obsidian

  Language:TypeScript371711724

• ratschlab/GP-VAE

  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155

  Language:Python1257427

• french-paragon/BayesianNeuralNetwork-Tutorial-Metarepos

  A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Bayesian Neural Networks - A Tutorial for Deep Learning Users"

  1102023

• ariG23498/mae-scalable-vision-learners

  A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

  Language:Jupyter Notebook755915

• ayulockin/deepimageinpainting

  Deep Image Inpainting using UNET like Vanilla Autoencoder and Partial Convolution based Autoencoder.

  Language:Jupyter Notebook554424

• Ien001/AG-CNN

  This is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification")

  Language:Python5011020

• uataq/stilt

  Stochastic Time-Inverted Lagrangian Transport model

  Language:R4853716

• raghavian/lungVAE

  This is the official Pytorch implementation of "Lung Segmentation from Chest X-rays using Variational Data Imputation", Raghavendra Selvan et al. 2020

  Language:Python453311

• regorxxx/Playlist-Tools-SMP

  A collection of Spider Monkey tools for foobar2000: from removing duplicates, to dynamic queries or "spotify-like" playlist creation.

  Language:JavaScript404186

• dmpelt/msdnet

  Python implementation of the Mixed-Scale Dense Convolutional Neural Network

  Language:Python3381114

• dmolony3/ResUNet

  Tensorflow implementation of Residual U-Net

  Language:Python272112

• charliekirkwood/deepgeostat

  Code for the paper - "Bayesian deep learning for spatial interpolation in the presence of auxiliary information"

  Language:R25208

• lshug/LearnToPayAttention-Keras

  Keras implementation of the Learn to Pay Attention model.

  Language:Python25007

• morrowcj/remotePARTS

  remotePARTS is a set of tools for running Partitioned spatio-temporal auto regression analyses on remotely-sensed data sets.

  Language:R204166

• mdsumner/nectar

  Language:Shell164121

• alexbooth/Beta-VAE-Tensorflow-2.0

  Implementation of Beta-VAE in Tensorflow 2 [WORK IN PROGRESS]

  Language:Python14203

• orybkin/sigma-vae-tensorflow

  A σ-VAE implementation in TensorFLow

  Language:Python14241

• uataq/stilt-tutorials

  Language:R121102

• imransalam/Variational-UNet

  Some weird thing with U-Net. Note this does not follow the official implementation of Variational UNet given in some papers.

  Language:Python70

• kochlisGit/Generative-Adversarial-Networks

  Generation of Human-Like handwritten digits using different GAN Architectures. The models were developed using Low-Level Tensorflow.

  Language:Python6203

• leokster/CVAE

  Language:Python10