100-days-of-ml-code

100 Days of ML Coding

100_plus_python_projects_challenge

100+ Python Projects Challenge

100daysofdevops

30-days-of-react

30 Days of React challenge is a step by step guide to learn React in 30 days. It requires HTML, CSS, and JavaScript knowledge. You should be comfortable with JavaScript before you start to React. If you are not comfortable with JavaScript check out 30DaysOfJavaScript. This is a continuation of 30 Days Of JS. This challenge may take more than 100 days, follow your own pace.

advanced-natural-language-processing-with-tensorflow-2

Advanced Natural Language Processing with TensorFlow 2, published by Packt

agentgpt

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

ai-collection

A collection of AI projects

ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

aircnc

:coffee: Airbnb like (Air Coffee & Code) to booking spots for developers using ReactJS, React Native, Node.js and more.

airfile

An online clipboard to share files!

airplane_ticket_app

Airplane ticket app with animated drawer

airticketpredicting

Machine Learning modeling for Air Ticket Predicting

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

alephnull

A python module for algorithmic trading and strategy validation

algo_trading_and_quant_strategies

Supplemental Material for Algorithmic Trading and Quantitative Strategies

algobox

Open Source algorithmic trading platform in Java / Python

algorithmic-trading

Algorithmic-trading using Python

algorithmic-trading-1

Deep Learning – Artificial Neural Network Using TensorFlow In Python

algorithmic-trading-python

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

algorithmic_trading_machine_learning

algorithmictrading

Using the Zerodha KiteConnect API platform to build an algorithmic market/exchange trading program template.

algorithmictrading-1

Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordingly formulate a trading strategy based on predicted values to generate orders on same historical training set to backtest how much portfolio would have increased. Select the combination of Machine learning algorithm and Trading strategy to maximize gain for future orders placed automatically via the program.

algotrade

algorithmic trading for quantitative strategies

algotrading

Python Implementations of popular Algorithmic Trading Strategies

alpaca-lora

Instruct-tune LLaMA on consumer hardware

alphavantage

an-application-of-deep-reinforcement-learning-to-algorithmic-trading

Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learning to Algorithmic Trading"

anomalydetectioncvpr2018

appsmith

Low code project to build admin panels, internal tools, and dashboards. Integrates with 15+ databases and any API.

arduino-lora

An Arduino library for sending and receiving data using LoRa radios.