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deep_metric

Deep Metric Learning

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deepspectralclustering

Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper

deepviv

Deep Learning of Vortex Induced Vibrations

deepxde

Deep learning library for solving differential equations

deepymod

DeepMod is a deep learning based model discovery algorithm which seeks the partial differential equation underlying a spatio-temporal data set. DeepMoD employs sparse regression on a library of basis functions and their corresponding spatial derivatives. This code is based on the paper: [arXiv:1904.09406](http://arxiv.org/abs/1904.09406)

disentangled_vae

Replicating "Understanding disentangling in β-VAE"

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

dpir

Deep Plug-and-Play Image Restoration (PyTorch)

dreml

PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)

factorvae

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

fast-scnn-pytorch

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network

fc-densenet

Fully Convolutional DenseNets for semantic segmentation.

ffdnet

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

gaal-based-outlier-detection

GAAL-based Outlier Detection

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gknn-entropy

Generalized k-nearest neighbor entropy estimation

glcic-pytorch

A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".

gmmn

Generative moment matching networks

gradmcmc

Faster estimation of Bayesian models in ecology using Hamiltonian Monte Carlo

graph_comb_opt

Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

gru_ode_bayes

Pytorch implementation of GRU-ODE-Bayes

highperformancebridgesim

highway-traffic-dynamics-kmd-code

hspace

Package for efficient calculation of multivariate joint entropy measures

ifac-vae-imputation

Demonstration code for missing data imputation using Variational Autoencoders (VAE)

improving-the-improved-training-of-wasserstein-gans

Pytorch Implementation of "Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect"

infovae