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ai.js

Learning Neural Networks from scratch in javascript

algo-strategy-backtesting

Algorithmic Strategy Backtesting

allamo

Simple, hackable and fast implementation for training/finetuning medium-sized LLaMA-based models

allure-testng-example

Example of usage Allure Report with TestNG and Maven

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

bitcoin-surge-trading-alpha

Crypto trading bot that detects surges in the bitcoin price and executes trades.

deeplearning4j

Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark

federal-holiday

Finds the dates of federal and stock market holidays

finlib

A streamlined library for getting historical financial price data, fundamental data, and financial ratios.

gpt3-chat

OpenAI GPT-3 bot chat app

h2ogpt

Private Q&A and summarization of documents+images or chat with local GPT, 100% private, Apache 2.0. Supports LLaMa2, llama.cpp, and more. Demo: https://gpt.h2o.ai/

java-postman-tester

Postman Collection handler written Java

kratos-client-java

magento2

All Submissions you make to Magento Inc. ("Magento") through GitHub are subject to the following terms and conditions: (1) You grant Magento a perpetual, worldwide, non-exclusive, no charge, royalty free, irrevocable license under your applicable copyrights and patents to reproduce, prepare derivative works of, display, publically perform, sublicense and distribute any feedback, ideas, code, or other information (“Submission") you submit through GitHub. (2) Your Submission is an original work of authorship and you are the owner or are legally entitled to grant the license stated above. (3) You agree to the Contributor License Agreement found here: https://github.com/magento/magento2/blob/master/CONTRIBUTOR_LICENSE_AGREEMENT.html

mailhog

Web and API based SMTP testing

markov-chains-to-predict-stock-market-behaviour

This is a simple implementation of Markov chains to predict Stock Market Behaviour

metaphorstocktrendanalyzer

A FastAPI-based API combining Metaphor's API and OpenAI's GPT-3.5 to extract and analyze headlines for predicting stock trends and recommending stocks

mobileautomationframework

Single code base framework to test android and iOS app using appium (v6.1.0), maven, testng,java. Option to start appium server programmatically.

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

neuralnetworks

java deep learning algorithms and deep neural networks with gpu acceleration

stock-market-sentiment-analysis

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stock-predictor

Listens for Stock news on Twitter, performs sentiment analysis by mining information from an online news source, performs supervised predictive modeling and suggests buy or sell decisions of the stock. Computes portfolio returns over time.

stockpredictor

Predict stock movement with Machine Learning and Deep Learning algorithms

tradealgo

Stock trading algorithm written in Python for TD Ameritrade.

webdrivermanager

Automatic management of Selenium WebDriver binaries