yaolezju Goto Github PK

image_deionising_auto_encoder

Noise removal from images using Convolutional autoencoder

interpretable-ml-book

Book about interpretable machine learning

interpretable_machine_learning_with_python

Practical techniques for training interpretable ML models, explaining ML models, and debugging ML models.

kdepy

Kernel Density Estimation in Python

label_propagation

Implementations of label propagation like algorithms

ladder

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

learning-from-labeled-and-unlabeled-data-with-label-propagation

Implementing the paper

leetcode

https://leetcode-cn.com/problemset/all/

lstm_encoder_decoder_for_prognostics

machine-learning-notes

This contains my machine learning notes in latex form

machinelearning

Machine Learning in Action学习笔记，一个文件夹代表一个算法，每个文件夹包含算法所需的数据集、源码和图片，图片放在pic文件夹中，数据集放在在Data文件夹内。书中的代码是python2的，有不少错误，这里代码是我用python3写的，且都能直接运行

machinelearning_tensorflow

TensorFlow学习

machine_learning_python

通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯

mdm

MDM

mlconvgec2018

Code and model files for the paper: "A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction" (AAAI-18).

mmd-variational-autoencoder

mscred

Multi-Scale Convolutional Recurrent Encoder-Decoder

mscred-1

Concise, modular implementation of Multi-Scale Convolutional Recurrent Encoder Decoder: https://arxiv.org/abs/1811.08055

ncp

Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors

neural-gc

Granger causality discovery for neural networks.

new-pac

noisynaturalgradient

Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"

notears

DAGs with NO TEARS: Continuous Optimization for Structure Learning

nri

Neural relational inference for interacting systems - pytorch

planetoid

Semi-supervised learning with graph embeddings

prml

PRML algorithms implemented in Python

probability

Probabilistic reasoning and statistical analysis in TensorFlow

py-factorgraph

Factor graphs and loopy belief propagation implemented in Python

pyfac

Python implementation of Sum-Product for Factor Graphs

pygam

[HELP REQUESTED] Generalized Additive Models in Python