A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.

Build a trading bot with OpenAI GPT-3.5, real-time data and prompt experimentation

Real-time Feature Pipelines in Python ⚡

Wave height prediction for the Huntington beach in California, USA.

A terminal application to view, tail, merge, and search log files (plus JSONL).

MambaStock: Selective state space model for stock prediction

A conda-smithy repository for vizro.

Vizro is a toolkit for creating modular data visualization applications.

Portfolio optimization and back-testing.

Rust binary to scan a directory tree for images and collect their coordinates from EXIF

A simple quant trading backtester implementation

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We release the trained model on HuggingFace.

Recreate EP Chan algo trading book strategies

A Python library that helps data scientists to infer causation rather than observing correlation.

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto,…

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

An Open Source Machine Learning Framework for Everyone

A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

Lightweight, useful implementation of conformal prediction on real data.

Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…

Systematic Trading in python

PyTrendFollow - systematic futures trading using trend following

Input a stock ticker symbol and return the predicted value for the next trading day!

A technical analysis dashboard on Streamlit!