Project dự đoán giá cổ phiếu bằng thuật toán LSTM gồm: code train và code demo

Last update: Nov 11, 2022

Overview

Web predicts stock prices using Long - Short Term Memory algorithm

Give me some start please!!!

User interface image:

Choose: DayBegin, DayEnd, Stock code, Fieldstock.

Predict stock price:

Choose day to predict.

Output: Stock price

Code train

LSTM explain

How to install project

Library required

Numpy = 1.21.5:
Pandas = 1.3.5:
ikit-learn = 1.0 :
nsorflow = 2.7.0
Streamlit = 1.0.0:
Yfinance = 0.1.64
Matplotlib = 3.3.4

Run tutorial

Advantages of the project

demo website
code train and explanation

License

Võ Thương Trường Nhơn Phạm Đức Tài @tai121 Nguyễn Hồng Thái

Owner

Vo Thuong Truong Nhon

A student of IT - Love technology- Like code

GitHub Repository

Planar Prior Assisted PatchMatch Multi-View Stereo

ACMP [News] The code for ACMH is released!!! [News] The code for ACMM is released!!! About This repository contains the code for the paper Planar Prio

127 Dec 31, 2022

A python implementation of Deep-Image-Analogy based on pytorch.

Deep-Image-Analogy This project is a python implementation of Deep Image Analogy.https://arxiv.org/abs/1705.01088. Some results Requirements python 3

171 Dec 14, 2022

Luminous is a framework for testing the performance of Embodied AI (EAI) models in indoor tasks.

Luminous is a framework for testing the performance of Embodied AI (EAI) models in indoor tasks. Generally, we intergrete different kind of functional

28 Jan 08, 2023

Efficiently computes derivatives of numpy code.

Note: Autograd is still being maintained but is no longer actively developed. The main developers (Dougal Maclaurin, David Duvenaud, Matt Johnson, and

6.1k Jan 08, 2023

A PyTorch library and evaluation platform for end-to-end compression research

CompressAI CompressAI (compress-ay) is a PyTorch library and evaluation platform for end-to-end compression research. CompressAI currently provides: c

680 Jan 06, 2023

Official implementation for “Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior”

Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior. The code will release soon. Implementation Python3 PyTorch=1.0 NVIDIA GPU+

34 Dec 04, 2022

Object-aware Contrastive Learning for Debiased Scene Representation

Object-aware Contrastive Learning Official PyTorch implementation of "Object-aware Contrastive Learning for Debiased Scene Representation" by Sangwoo

43 Dec 14, 2022

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

NeRF-pytorch NeRF (Neural Radiance Fields) is a method that achieves state-of-the-art results for synthesizing novel views of complex scenes. Here are

3.2k Jan 08, 2023

Predicting a person's gender based on their weight and height

Logistic Regression Advanced Case Study Gender Classification: Predicting a person's gender based on their weight and height 1. Introduction We turn o

1 Feb 01, 2022

BasicRL: easy and fundamental codes for deep reinforcement learning。It is an improvement on rainbow-is-all-you-need and OpenAI Spinning Up.

BasicRL: easy and fundamental codes for deep reinforcement learning BasicRL is an improvement on rainbow-is-all-you-need and OpenAI Spinning Up. It is

12 Apr 28, 2022

WiFi-based Multi-task Sensing

WiFi-based Multi-task Sensing Introduction WiFi-based sensing has aroused immense attention as numerous studies have made significant advances over re

6 Nov 24, 2022

Source code for paper "Deep Superpixel-based Network for Blind Image Quality Assessment"

DSN-IQA Source code for paper "Deep Superpixel-based Network for Blind Image Quality Assessment" Requirements Python =3.8.0 Pytorch =1.7.1 Usage wit

7 Oct 13, 2022

Unsupervised Image to Image Translation with Generative Adversarial Networks

Unsupervised Image to Image Translation with Generative Adversarial Networks Paper: Unsupervised Image to Image Translation with Generative Adversaria

71 Oct 30, 2022

Experiments for Neural Flows paper

Neural Flows: Efficient Alternative to Neural ODEs [arxiv] TL;DR: We directly model the neural ODE solutions with neural flows, which is much faster a

54 Dec 07, 2022

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Hands-on-Machine-Learning 目的这份笔记旨在帮助中文学习者以一种较快较系统的方式入门机器学习，是在学习Hands-on Machine Learning with Scikit-Learn and TensorFlow这本书的时候做的个人笔记: 此项目的可取之处原书的

1.5k Dec 21, 2022

This repository contains the code for the paper 'PARM: Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval' published at ECIR'22.

Paragraph Aggregation Retrieval Model (PARM) for Dense Document-to-Document Retrieval This repository contains the code for the paper PARM: A Paragrap

33 Aug 26, 2022