423 Open source projects that are alternatives of or similar to stock-price-prediction

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

Stock for Deep Learning and Machine Learning

Regression, Scrapers, and Visualization

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons

A news aggregator in python, that focuses primarily on business and market news sources.

Prediction of Premier league standings using Poisson distribution

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

Intrinio Java SDK for Real-Time Stock Prices

新浪微博情感分析应用

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

Prediction or detection of various medical ailments

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

Unsupervised Learning to Market Behavior Forecasting Example

Interactive SVM Explorer, using Dash and scikit-learn

National Stock Exchange (NSE), India based Stock screener program. Supports Live Data, Swing / Momentum Trading, Intraday Trading, Connect to online brokers as Zerodha Kite, Risk Management, Emotion Control, Screening, Strategies, Backtesting, Automatic Stock Downloading after closing, live free day trading data and much more

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Age and Gender prediction using Keras

real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method

Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

Gaussian Process package based on data augmentation, sparsity and natural gradients

Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

hook msr by amd svm

GPT-2 Telegram Chat bot

💸 Finance for fun | Not an investment advice 💸

Automatic trading bot (WIP)

Code and models for the manuscript "Predicting Poverty and Developmental Statistics from Satellite Images using Multi-task Deep Learning"

Open Source Landmarking Library

liblinear bindings for Go

SimpleSvmHook is a research purpose hypervisor for Windows on AMD processors.

An Elegant Financial Markets Library Written in Swift

A minimalistic educational hypervisor for Windows on AMD processors.

Pair Trading View - .NET application for visual analysis of synthetic financial instruments based on statistical models.

Scene text detection and recognition based on Extremal Region(ER)

Digital Signal Processing Indicators For Market Data.

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

Fully Automated IG Trading

machine learning algorithm

The R package for SVM with GPU architecture based on the GTSVM software

LinearGo (Go wrapper for LIBLINEAR): A Library for Large Linear Classification

This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset

An easy neural network for Java!

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)

Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset

R package for fitting joint models to time-to-event data and multivariate longitudinal data

机器学习与深度学习算法示例

Algorithmic trading infrastructure in Python.

Conformalized Quantile Regression

Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.

Linear SVM with PyTorch

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

MATLAB code for Relevance Vector Machine using SB2_Release_200.

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

Cira algorithmic trading made easy. A Façade library for simpler interaction with alpaca-trade-API from Alpaca Markets.