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This is the official TensorFlow implementation of AMPA-Net
Bayesian Neural Networks
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.
bp 神经网络算法
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.
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance, NeurIPS 2020 DRL workshop.
Fast Incremental Support Vector Data Description implemented in Python
Collection of Notebooks for Natural Language Processing with PyTorch
First order HMM with Viterbi, Forward-Backward and Baum-Welch implementations
Minimal, clean example of lstm neural network training in python, for learning purposes.
Exploration of timeseries LSTM RNN prediction in pytorch, keras, tensorflow, and tensorflow.contrib.keras.
an implementation of LSTM using Keras on predicting remaining useful life (or time to failure) of aircraft engines
Time Series Prediction using PyTorch on the covid-19 day vs cases dataset
包含机器学习基础算法与应用
Forecasting the default probability of mortgages based on historical performance and other covariates using both parametric multionomial models and non-parametric Maximum Entropy approaches
An example of multi-variate time-series prediction
Naive Bayes SVM for Sentiment Analysis
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
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!
A non-iterative algorithm to reconstruct images from compressively sensed measurements.
Remaining Useful Life prediction of machinery using a novel data wrangling method and CNN-LSTM network for prediction
Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
My Own Project for ML
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
Spring Framework
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.