Quantitative Finance book

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈

GraalVM compiles Java applications into native executables that start instantly, scale fast, and use fewer compute resources 🚀

Applied Data Science for Credit Risk

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

We release `LOBFrame', a novel, open-source code base which presents a renewed way to process large-scale Limit Order Book (LOB) data.

Hexagonal hierarchical geospatial indexing system

real time face swap and one-click video deepfake with only a single image

🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

Probabilistic language based on pattern matching and constraint propagation, 153 examples

Modern Time Series Forecasting with Python 2E, Published by Packt

GPU-accelerated Factors analysis library and Backtester

Data processing with ML and LLM

Benchmarking and Testing FastKAN

Short experiment with Deep Q-Learning + KAN to play Flappy Bird.

UFEKT (Unsupervised Feature Extraction uisng Kernel Method and Tucker Decomposition)

Code for the paper "Deep FTRL-ORW: An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games" presented at AAAI 2023.

Scalable implementation of DREAM - Deep RL for multi-agent imperfect information games

Turn your data frame into a tableau style drag and drop UI interface to build visualization in R.

Quantitative finance example applications on GPUs using portable programming models.

Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2

This is the offical repository of paper "LAMBDA: A large Model Based Data Agent". https://www.polyu.edu.hk/ama/cmfai/lambda.html

JuiceFS is a distributed POSIX file system built on top of Redis and S3.

Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

AI-dataframe to enrich, transform and analyze data from cloud storages for ML training and LLM apps