qrescent,github

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

To implement fully connected Neural Network (NN), Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN) using time series data to predict stock price and depict the results using RMSE and Regression Lift Chart of test data. 1) To predict [Close] of a day based on the last 7 days data [Open, High, Low, Volume, Close] using fullconnected Neural Network model. 2) To predict [Close] of a day based on the last 7 days data [Open, High, Low, Volume, Close] using LSTM model 3) To predict [Close] of a day based on the last 7 days data [Open, High, Low, Volume, Close] using CNN model.

algotrading

Algorithmic trading framework for cryptocurrencies.

alice_blue

Official Python library for Alice Blue API trading

awesome-trading-algorithm

This algorithm takes a daily position on the SPY ETF by indirectly predicting the change in price through the put/call ratio. I do this by implementing machine learning techniques on Sofien Kaabar's put/call ratio trading strategy.

chatterbot-corpus

A multilingual dialog corpus

convnext

Code release for ConvNeXt model

crypto-database

Database for crypto data, supporting several exchanges. Can be used for TA, bots, backtest, realtime trading, etc.

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

example-scalping

A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio

finance

Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!

finrl

FinRL: Financial Reinforcement Learning. 🔥

finrl-meta

FinRL-Meta: Data-Driven Metaverse for Financial Reinforcement Learning. 🔥

finrl-tutorials

Tutorials for FinRL and FinRL-Meta. Please star.

flashlight

A C++ standalone library for machine learning

fullstack-trading-app

This is a full stack algorithmic trading application using the Apaca API.

fullstack-webscraper-for-ml

Scrapping relevant info from the web

hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.