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

Vo Thuong Truong Nhon

Last update: Nov 11, 2022

Related tags

Deep Learning github-project-du-doan-gia-co-phieu-LSTM

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

You might also like...

PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

Quasi-Recurrent Neural Network (QRNN) for PyTorch Updated to support multi-GPU environments via DataParallel - see the the multigpu_dataparallel.py ex

1.3k Dec 28, 2022

A3C LSTM Atari with Pytorch plus A3G design

NEWLY ADDED A3G A NEW GPU/CPU ARCHITECTURE OF A3C FOR SUBSTANTIALLY ACCELERATED TRAINING!! RL A3C Pytorch NEWLY ADDED A3G!! New implementation of A3C

532 Jan 2, 2023

Tree LSTM implementation in PyTorch

Tree-Structured Long Short-Term Memory Networks This is a PyTorch implementation of Tree-LSTM as described in the paper Improved Semantic Representati

529 Dec 10, 2022

Sign Language is detected in realtime using video sequences. Our approach involves MediaPipe Holistic for keypoints extraction and LSTM Model for prediction.

RealTime Sign Language Detection using Action Recognition Approach Real-Time Sign Language is commonly predicted using models whose architecture consi

15 Aug 20, 2022

LSTM and QRNN Language Model Toolkit for PyTorch

LSTM and QRNN Language Model Toolkit This repository contains the code used for two Salesforce Research papers: Regularizing and Optimizing LSTM Langu

1.9k Jan 8, 2023

Multi-layer convolutional LSTM with Pytorch

Convolution_LSTM_pytorch Thanks for your attention. I haven't got time to maintain this repo for a long time. I recommend this repo which provides an

733 Dec 30, 2022

a reccurrent neural netowrk that when trained on a peice of text and fed a starting prompt will write its on 250 character text using LSTM layers

RNN-Playwrite a reccurrent neural netowrk that when trained on a peice of text and fed a starting prompt will write its on 250 character text using LS

1 Oct 29, 2021

LSTM Neural Networks for Spectroscopic Studies of Type Ia Supernovae

Package Description The difficulties in acquiring spectroscopic data have been a major challenge for supernova surveys. snlstm is developed to provide

7 Oct 11, 2022

A Simple LSTM-Based Solution for "Heartbeat Signal Classification and Prediction" in Tianchi

LSTM-Time-Series-Prediction A Simple LSTM-Based Solution for "Heartbeat Signal Classification and Prediction" in Tianchi Contest. The Link of the Cont

1 Jun 13, 2022

Owner

Vo Thuong Truong Nhon

A student of IT - Love technology- Like code

GitHub

Demo project for real time anomaly detection using kafka and python

kafkaml-anomaly-detection Project for real time anomaly detection using kafka and python It's assumed that zookeeper and kafka are running in the loca

36 Dec 12, 2022

Plaything for Autistic Children (demo for PaddlePaddle/Wechaty/Mixlab project)

星星的孩子 - 一款为孤独症孩子设计的聊天机器人游戏孤独症儿童是目前常常被忽视的一类群体。他们有着类似性格内向的特征，实际却受着广泛性发育障碍的折磨。项目背景这类儿童在与人交往时存在着沟通障碍，其特点表现在：社交交流差，互动障碍明显认知能力有限，被动认知兴趣狭窄，重复刻板，缺乏变化和想象

35 Nov 24, 2022

Using LSTM write Tang poetry

本教程将通过一个示例对LSTM进行介绍。通过搭建训练LSTM网络，我们将训练一个模型来生成唐诗。本文将对该实现进行详尽的解释，并阐明此模型的工作方式和原因。并不需要过多专业知识，但是可能需要新手花一些时间来理解的模型训练的实际情况。为了节省时间，请尽量选择GPU进行训练。

56 Dec 15, 2022

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Stock Price Prediction of Apple Inc. Using Recurrent Neural Network OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network Dataset:

410 Jan 5, 2023

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

A tour through tensorflow with financial data I present several models ranging in complexity from simple regression to LSTM and policy networks. The s

195 Dec 7, 2022

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

Related tags

Overview

Web predicts stock prices using Long - Short Term Memory algorithm

User interface image:

Code train

How to install project

Library required

Run tutorial

Advantages of the project

License

You might also like...

PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

A3C LSTM Atari with Pytorch plus A3G design

Tree LSTM implementation in PyTorch

Sign Language is detected in realtime using video sequences. Our approach involves MediaPipe Holistic for keypoints extraction and LSTM Model for prediction.

LSTM and QRNN Language Model Toolkit for PyTorch

Multi-layer convolutional LSTM with Pytorch

a reccurrent neural netowrk that when trained on a peice of text and fed a starting prompt will write its on 250 character text using LSTM layers

LSTM Neural Networks for Spectroscopic Studies of Type Ia Supernovae

A Simple LSTM-Based Solution for "Heartbeat Signal Classification and Prediction" in Tianchi

Owner

Vo Thuong Truong Nhon

Demo project for real time anomaly detection using kafka and python

Plaything for Autistic Children (demo for PaddlePaddle/Wechaty/Mixlab project)

Using LSTM write Tang poetry

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

Multi-layer convolutional LSTM with Pytorch

Incorporating Transformer and LSTM to Kalman Filter with EM algorithm

Forecasting directional movements of stock prices for intraday trading using LSTM and random forest

Deep learning based hand gesture recognition using LSTM and MediaPipie.