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A latent text-to-image diffusion model
Examples and guides for using the OpenAI API
Learn how to develop, deploy and iterate on production-grade ML applications.
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Official inference library for Mistral models
Python toolkit for quantitative finance
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Collection of notebooks about quantitative finance, with interactive python code.
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Quantitative analysis, strategies and backtests
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
Quantitative research and educational materials
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈
Fast and Easy Infinite Neural Networks in Python
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.