Stars
Code for Machine Learning for Algorithmic Trading, 2nd edition.
A ranked list of algorithmic trading open-source libraries, frameworks, bots, tools, books, communities, education materials. Updated weekly.
Machine Learning Journal for Intermediate to Advanced Topics.
Code to replicate the simulation study and empirical application in the paper "Improving the Finite Sample Performance of Double/Debiased Machine Learning with Propensity Score Calibration"
Python sync/async framework for Interactive Brokers API (replaces ib_insync)
A Python package for probabilistic state space modeling with JAX
Reservoir computing utilities for scientific machine learning (SciML)
📺 Discover the latest machine learning / AI courses on YouTube.
Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
Simple code for generating a color-coded latex table from raw data
Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)
DiffusionFastForward: a free course and experimental framework for diffusion-based generative models
"Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.
Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland
Official repo for consistency models.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
🧠 A study guide to learn about Transformers
Latex code for making neural networks diagrams
Publication-ready NN-architecture schematics.
A technical report on convolution arithmetic in the context of deep learning
List of papers, code and experiments using deep learning for time series forecasting
Julia Implementation of Transformer models
Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.