lanzhengyang Goto Github PK

alpha_zero

Alpha Zero home made implementation applied to simple games.

bayesian-learning-via-sgld

Some implementation of the algorithm in the paper

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bml-course

Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille

complexpytorch

A high-level toolbox for using complex valued neural networks in PyTorch

corelay

CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.

crop-type-mapping

Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification

dinae_4dvarnn_torch

dp-sgld

draft_python

TP and code to be familiar with python

dss

DeepSkyStacker

dtw

DTW (Dynamic Time Warping) python module

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

encfs4win

Windows port of EncFS

explaining-deep-clinical-gait-classification

Code and Data used for the paper "Explaining Machine Learning Models for Clinical Gait Analysis"

gait_deeplearning_diagnostic_tool

A diagnostic tool that combines clinical gait analysis and deep learning

global-attribution-mapping

GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations

hitomi-downloader

:cake: Desktop utility to download images/videos/music/text from various websites, and more.

jigsaw-puzzle-solver

[M2][Software Engineering Refreshment]

kodexplorer

A web based file manager,web IDE / browser based code editor

lanzhengyang.github.io

layerwise-relevance-propagation-for-lstms

Tensorflow 2.1 implementation of LRP for LSTMs

lime-for-time

Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification

limesegment

Adapting LIME explanations for Time Series Data

lrp_decomposition

torch implementation of LRP decomposition

lrp_for_lstm

Layer-wise Relevance Propagation (LRP) for LSTMs.

lrp_toolbox

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

machine-learning-algorithm

mcmc

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

mfml_bayesian_knn

Implement based on paper 'A Bayesian reassessment of nearest–neighbour classification'