Code for Burtsev, Mikhail. "Learning Elementary Cellular Automata with Transformers." In The 4th Workshop on Mathematical Reasoning and AI at NeurIPS'24.

This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models

A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

DSPy: The framework for programming—not prompting—foundation models

TensorFlow code and pre-trained models for BERT

Algorithmic Information Dynamics with the R Language

Building Data-Driven Applications with LlamaIndex, published by Packt

For trading. Please star.

Foundations of Reinforcement Learning textbook

Code for "Is There a Replication Crisis in Finance" by Jensen, Kelly and Pedersen (2023)

Causal Inference and Discovery in Python by Packt Publishing

Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo

Specify what you want it to build, the AI asks for clarification, and then builds it.

Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

Website dedicated to a book on machine learning for factor investing

https://adialab.crunchdao.com/

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.