Kejie Jiang's repositories
Beta-VAE
Pytorch implementation of β-VAE
Copula-Variational-Bayes
Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2018
deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
DeepHPMs
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
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
disentangled_vae
Replicating "Understanding disentangling in β-VAE"
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)
GAAL-based-outlier-detection
GAAL-based Outlier Detection
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
IFAC-VAE-Imputation
Demonstration code for missing data imputation using Variational Autoencoders (VAE)
IntroVAE
A pytorch implementation of Paper "IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis"
KitNET-py
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
mechamodlearn
Structured framework for learning mechanical systems in PyTorch
neural-combinatorial-rl-pytorch
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
Parametric-t-SNE-in-Keras
a python implementation of Parametric t-SNE in Keras
PCA_MUSIC
Matlab code for my paper "Bayesian inference for PCA and MUSIC algorithms with unknown number of sources", IEEE Trans. on signal processing, 2018
piwise
Pixel-wise segmentation on VOC2012 dataset using pytorch.
pmtk3
Probabilistic Modeling Toolkit for Matlab/Octave.
probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
pytorch-drl4vrp
Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).
reinforce
reinforcement learning
Reinforcement_learning_tutorial_with_demo
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
tensorflow-convlstm-cell
A ConvLSTM cell with layer normalization and peepholes for TensorFlow's RNN API.