wesg52

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Mathematics-for-ML

🧮 A collection of resources to learn mathematics for machine learning

pythia

The hub for EleutherAI's work on interpretability and learning dynamics

TransformerLens

A library for mechanistic interpretability of GPT-style language models

vizier

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

lovely-tensors

Tensors, for human consumption

geotorch

Constrained optimization toolkit for PyTorch

tracr

git-re-basin

Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"

awesome-neuro-ai-papers

Papers from the intersection of deep learning and neuroscience

PyTorch-Model-Compare

Compare neural networks by their feature similarity

blackbox-backprop

Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"

rsome

Robust Stochastic Optimization Made Easy

raspy

An interactive exploration of Transformer programming.

evals

jax_verify

Neural network verification in JAX

NeuroX

A Python library that encapsulates various methods for neuron interpretation and analysis in Deep NLP models.

Easy-Transformer

glasgow-subgraph-solver

A solver for subgraph isomorphism problems, based upon a series of papers by subsets of McCreesh, Prosser, and Trimble.

interpretability-starter

🧠 Starter templates for doing interpretability research

transformer-utils

Utilities for the HuggingFace transformers library

activation_additions

Algebraic value editing in pretrained language models

state-probes

Code for the paper "Implicit Representations of Meaning in Neural Language Models"

spacy-alignments

💫 A spaCy package for Yohei Tamura's Rust tokenizations library

allfed-integrated-model

Integrated model to calculate the effects of resilient foods in catastrophic events

Individual-Neurons-Pitfalls

llm-context-neurons

Find context neurons in Pythia models.

swap-graphs

An implementation of input swap graphs. A tool to discover the role of neural network components with causal interventions.

fairmandering_paper

Code repository for Fairmandering: A column generation heuristic for fairness-optimized political districting

ROdemos

A repository of robust optimization demos in Julia.