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Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Streamlit — A faster way to build and share data apps.
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
FinML: A Practical Machine Learning Framework for Dynamic Stock Selection
GPU-accelerated Factors analysis library and Backtester
A Python library for evaluating option trading strategies.
Master programming by recreating your favorite technologies from scratch.
2 books and related source codes for algorithmic trading.
Pixel Parsing. A reproduction of OCR-free end-to-end document understanding models with open data
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
To study the application of neural network (sub branch of Artificial Intelligence) studying past 5 years worth of stock market data to make calculated probability of stock to move the next day for …
Python sync/async framework for Interactive Brokers API (replaces ib_insync)
Video+code lecture on building nanoGPT from scratch
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
gpt-4o for windows, macos and linux
Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Vollib extends this to add support for Black-Scholes and Black-Sc…
Curated list of project-based tutorials
This repository contains everything you need to become proficient in Data Structures and Algorithms
List of awesome resources for machine learning-based algorithmic trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…
This repository contains demos I made with the Transformers library by HuggingFace.