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ampa-net

This is the official TensorFlow implementation of AMPA-Net

bnn

Bayesian Neural Networks

box-office-prediction-using-movie-trailers

This repository contains the codes and research report for the Box Office Return Prediction Research Project developed during the International Masters in Data Analytics at the University of Hildesheim.

bpnn

bp 神经网络算法

breast-cancer-prediction-using-machine-learning-various-algorithms

In this tutorial, i will apply a bunch of various Machine Learning Algorithms on the Breast Cancer Dataset and see how each of them behaves with respect to one another.

etdataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

f-fade

finrl-library

A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance, NeurIPS 2020 DRL workshop.

fisvdd

Fast Incremental Support Vector Data Description implemented in Python

gan-augmentation-for-remaining-useful-life-prediction

hands-on-nlp-with-pytorch

Collection of Notebooks for Natural Language Processing with PyTorch

hidden-markov-model

First order HMM with Viterbi, Forward-Backward and Baum-Welch implementations

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

lstm-1

Exploration of timeseries LSTM RNN prediction in pytorch, keras, tensorflow, and tensorflow.contrib.keras.

lstm-probability-of-failure

an implementation of LSTM using Keras on predicting remaining useful life (or time to failure) of aircraft engines

lstm-tsp

Time Series Prediction using PyTorch on the covid-19 day vs cases dataset

ml

包含机器学习基础算法与应用

mlip_m5

mortgage_default_probability

Forecasting the default probability of mortgages based on historical performance and other covariates using both parametric multionomial models and non-parametric Maximum Entropy approaches

multi-variate-time-series-prediction

An example of multi-variate time-series prediction

nbsvm

Naive Bayes SVM for Sentiment Analysis

predictivemaintenance

Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

pytorchdocs

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

reconnet-pytorch

A non-iterative algorithm to reconstruct images from compressively sensed measurements.

remaining-useful-life-prediction

Remaining Useful Life prediction of machinery using a novel data wrangling method and CNN-LSTM network for prediction

robuststl

Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)

rul-esimator-remaining-useful-life-

My Own Project for ML

rul-net

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

spring-framework

Spring Framework