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:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
Open source code for AlphaFold.
:clock7: A curated list of awesome time series databases, benchmarks and papers
Source Code for 'Beginning PyQt' by Joshua Willman
BlackHole is a modern macOS virtual audio driver that allows applications to pass audio to other applications with zero additional latency.
C语言教程+博客+代码演示+课程设计。 帮助初学者更好的理解 C 难点,提升代码量! For beginners:C tuition/self-learning
The official source code repository for the calibre ebook manager
100+ Chinese Word Vectors 上百种预训练中文词向量
Learning Convolutional Neural Networks with Interactive Visualization.
Documentation for GitHub Copilot
Source Code for 'Data Analysis and Visualization Using Python' by Dr. Ossama Embarak
Source Code for 'Deep Learning for Natural Language Processing' by Palash Goyal, Sumit Pandey and Karan Jain
Designing a Machine Learning algorithm to predict stock prices is a subject of interest for economists and machine learning practitioners. Financial modelling is a challenging task, not only from an analytical perspective but also from a psychological perspective. After 2008 financial crisis, many financial companies and investors shifted their interest towards predicting future trends. Most of the existing methods for stock price forecasting are modelled using non-linear methods and evaluated on specific data sets. These models are not able to generalize for diverse datasets. Financial time series data is highly dynamic in nature and makes it difficult to analyze through statistical methods. Recurrent Neural Networks (RNN) based Long Short- Term Memory (LSTM) networks were able to capture the patterns of the sequences data meanwhile statistical methods tried to generalize by memorizing data instead of recognizing patterns. In this work, we examined the performance of LSTM model and statistical models over stock prices of different companies to generalize the model. The experimental results of this study show that, LSTM network outperformed traditional statistical methods like ARIMA, MA and AR models. Furthermore, we have noticed that, LSTM network was able to perform consistently on different data sets while statistical methods showed varied performance. Through this project, we addressed the gaps in current models of stock price prediction in both economic and machine learning perspective.
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
List of papers, code and experiments using deep learning for time series forecasting
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
書籍「つくりながら学ぶ!深層強化学習」のサポートリポジトリです
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
A tutorial demonstrating how to implement deep learning models for time series forecasting
This repository contains implementations and illustrative code to accompany DeepMind publications
开发者边车,github打不开,github加速,git clone加速,git release下载加速,stackoverflow加速
This is the codes for Diebold-Mariano test based on Python
This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).
Translations of TensorFlow documentation
A microkernel os for ARM, well ported on Raspberry Pi(s)
TensorFlow examples
Deep learning with dynamic computation graphs in TensorFlow
Time Series Forecasting Best Practices & Examples
Implementing from Forecasting: Principles and Practices on Python
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.