rmaestre

axiomatization-learning

Interactive dashboard for 'Teaching Transformers Causal Reasoning through Axiomatic Training' by Vashishtha et al. (2024). Explore key findings on how transformers learn causal axioms, generalize to complex structures, and compare with large language models.

LangCode

LangCode - Improving alignment and reasoning of large language models (LLMs) with natural language embedded program (NLEP).

GrokkedTransformer

Code for the paper 'Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization'

Magic_Words

Code for the paper "What's the Magic Word? A Control Theory of LLM Prompting"

representation-engineering

Representation Engineering: A Top-Down Approach to AI Transparency

LLMs-from-scratch

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

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

corr_shap

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

bbvadata_papers

contextualbandits

Python implementations of contextual bandits algorithms

Neural-Network-Architecture-Diagrams

Diagrams for visualizing neural network architecture (Created with diagrams.net)

Graph_Signal_Processing

Signal processing on graphs using torch_geometric.

py-findpeaks

Overview of the peaks dectection algorithms available in Python

notebooks

Content in this repository is not maintained and is actively being migrated to other repos.

CausalDiscoveryToolbox

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

CEVAE

Causal Effect Inference with Deep Latent-Variable Models

pyvi

Python toolbox for Volterra series identification and order separation

RL-Causality

References at the Intersection of Causality and Reinforcement Learning

abides

ABIDES: Agent-Based Interactive Discrete Event Simulation

Propagation-of-Uncertainty-Calculator

Calculate the propagation of uncertainty of a function quickly, easily, and with explanations!

essentia

C++ library for audio and music analysis, description and synthesis, including Python bindings

alibi

Algorithms for explaining machine learning models

EdgeML

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

seirsplus

Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.

TFM_1920

Repositorio para el TFM del Máster TECI en el curso 2019/2020

TensorNetwork

A library for easy and efficient manipulation of tensor networks.

Autoencoder-TensorBoard-t-SNE

Plugging TensorBoard in an autoencoder on the MNIST dataset for demonstrating t-SNE embeddings visualization of unsupervised machine learning.

kissat

markovchain

Easy Handling Discrete Time Markov Chains