Ravi1G's repositories
Adventures-in-Financial-Data-Science
Here I am collecting the scripts I have used to prepare my book "Adventures in Financial Data Science" and to support my other writing, such as that on Medium. Those for the book are mostly originally written for the RATS time-series analysis system, which is commercial software, so I have begun porting the code to Python Notebooks written for Google's colab https://colab.research.google.com. This is mostly what I will post here. The figures for the book will be generated by notebooks titled "Section n.n.n Section Title" etc.
awesome-llm-apps
Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
binance-trade-bot
Automated cryptocurrency trading bot
Crypto-Historical-Prices
An ETL project that compiles historical cryptocurrency prices from online sources into one SQL database
crypto-trading-bot
Cryptocurrency trading bot in javascript for Bitfinex, Bitmex, Binance, FTX, Bybit ... (public edition)
DataScience_Interactive_Python
Python interactive dashboards for learning data science
fastquant
fastquant — Backtest and optimize your trading strategies with only 3 lines of code!
Finance
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
funda-scraper
Scraper of the Dutch real estate website www.funda.nl, implemented in Python with Scrapy
gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
jupyter-ai
A generative AI extension for JupyterLab
machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
ML-intro-with-Python
This repository offers a hands-on guide to machine learning with Python, featuring a Jupyter notebook on data processing, regression techniques, evaluation, and optimization. It's suitable for learners at all levels and sets the stage for future expansion into broader machine learning topics.
mlx
MLX: An array framework for Apple silicon
notebook-copilot
From Thoughts to Well-Crafted Jupyter Notebook at Record-Speed
python-deepdive
Python Deep Dive Course - Accompanying Materials
python-training
Python training for business analysts and traders
pytimetk
Time series easier, faster, more fun. Pytimetk.
streamlit-for-datascience
The Streamlit for Data Science shows how to build interactive data apps powered by data visualization and machine learning!!
streamlit_freecodecamp
Build 12 Data Apps in Python with Streamlit
Trading-strategy-
Here I test a simple ML trading strategy
twitter_demos
A repository of demonstrations, from the twitter threads here: https://twitter.com/DrDanobi
udlbook
Understanding Deep Learning - Simon J.D. Prince