Kejie Jiang's repositories

bayesian-neural-network-blogpost

Building a Bayesian deep learning classifier

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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.

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ConvLSTM-2

Convolutional LSTM for Precipitation Nowcasting

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FC-DenseNet

Fully Convolutional DenseNets for semantic segmentation.

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gknn-entropy

Generalized k-nearest neighbor entropy estimation

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gmmn

Generative moment matching networks

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gradmcmc

Faster estimation of Bayesian models in ecology using Hamiltonian Monte Carlo

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Improving-the-Improved-Training-of-Wasserstein-GANs

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

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MagnetLoss-PyTorch

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

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MultistepNNs

Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems

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neural-combinatorial-rl-pytorch

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

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np-hard-deep-reinforcement-learning

pytorch neural combinatorial optimization

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PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

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Probabilistic-Robotics

《概率机器人》书和课后习题

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pytorch_convlstm

convolutional lstm implementation in pytorch

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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>.

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shannon

A python package for computing the mutual information and entropy for continuous and discrete data.

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UnsupervisedDeepLearning-Pytorch

This repository tries to provide unsupervised deep learning models with Pytorch

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vae-pytorch

AE and VAE Playground in PyTorch

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WindTurbineHighSpeedBearingPrognosis-Data

Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox

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