Kejie Jiang's repositories
bayesian-neural-network-blogpost
Building a Bayesian deep learning classifier
cnn-convlstm-time-series
Inspired by the success and computational efficiency of convolutional architectures for various sequential tasks compared to recurrent neural networks. We explored CNN and RCNN autoencoder whose representations can be utilized for the task of time-series classification. Our results surpass existing RNN and DTW-based-classifiers on 11 out of 30 datasets while the existing RNN achieved 8/30.
ConvLSTM-2
Convolutional LSTM for Precipitation Nowcasting
FC-DenseNet
Fully Convolutional DenseNets for semantic segmentation.
gknn-entropy
Generalized k-nearest neighbor entropy estimation
gmmn
Generative moment matching networks
gradmcmc
Faster estimation of Bayesian models in ecology using Hamiltonian Monte Carlo
Improving-the-Improved-Training-of-Wasserstein-GANs
Pytorch Implementation of "Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect"
MagnetLoss-PyTorch
PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
MultistepNNs
Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
neural-combinatorial-rl-pytorch
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
np-hard-deep-reinforcement-learning
pytorch neural combinatorial optimization
PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Probabilistic-Robotics
《概率机器人》书和课后习题
pytorch_convlstm
convolutional lstm implementation in pytorch
robotics
Probabilistic state estimation for robotics applications. Bayes filters include Kalman, Markov chains; Gaussian, uniform and discrete mapping probability distributions representations; Distribution sampling, marginalization, multiplication; Distribution composition independent pairs and Bayes rule; Linear algebra, matrix, vector, inverse, square root, LU decomposition, Cholesky decomposition; piecewise linear approximation of functions; Sensor models, Markov action chains <X,U,X>.
UnsupervisedDeepLearning-Pytorch
This repository tries to provide unsupervised deep learning models with Pytorch
vae-pytorch
AE and VAE Playground in PyTorch
WindTurbineHighSpeedBearingPrognosis-Data
Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox