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Starred repositories

32 stars written in Jupyter Notebook
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🦜🔗 Build context-aware reasoning applications

Jupyter Notebook 94,770 15,339 Updated Nov 13, 2024

A latent text-to-image diffusion model

Jupyter Notebook 68,342 10,160 Updated Jun 18, 2024

The fastai deep learning library

Jupyter Notebook 26,281 7,565 Updated Oct 19, 2024

Companion webpage to the book "Mathematics For Machine Learning"

Jupyter Notebook 13,234 2,437 Updated Jan 15, 2024

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

Jupyter Notebook 11,149 526 Updated Jul 6, 2024

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Jupyter Notebook 10,486 1,514 Updated Aug 8, 2024

Official inference library for Mistral models

Jupyter Notebook 9,712 861 Updated Nov 12, 2024

A collection of infrastructure and tools for research in neural network interpretability.

Jupyter Notebook 4,673 654 Updated Feb 6, 2023

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

Jupyter Notebook 3,532 755 Updated Nov 13, 2022

A computer science textbook

Jupyter Notebook 3,418 328 Updated Aug 11, 2024

Bayesian optimization in PyTorch

Jupyter Notebook 3,102 404 Updated Nov 13, 2024

Productivity Tools for Plotly + Pandas

Jupyter Notebook 3,030 675 Updated Jul 3, 2024

The fast.ai course notebooks

Jupyter Notebook 2,484 974 Updated Oct 8, 2024

An interactive data visualization tool which brings matplotlib graphics to the browser using D3.

Jupyter Notebook 2,358 360 Updated Oct 30, 2024

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

Jupyter Notebook 2,272 170 Updated Nov 1, 2024

Solutions of Reinforcement Learning, An Introduction

Jupyter Notebook 2,023 466 Updated May 20, 2024
Jupyter Notebook 1,032 401 Updated May 5, 2023

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

Jupyter Notebook 685 118 Updated Apr 16, 2024

TruthfulQA: Measuring How Models Imitate Human Falsehoods

Jupyter Notebook 616 71 Updated Nov 6, 2023

HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

Jupyter Notebook 330 56 Updated Aug 16, 2024

Mechanistic Interpretability Visualizations using React

Jupyter Notebook 197 31 Updated Jul 13, 2024

Emergent world representations: Exploring a sequence model trained on a synthetic task

Jupyter Notebook 168 40 Updated Jul 12, 2023

Interpreting how transformers simulate agents performing RL tasks

Jupyter Notebook 70 16 Updated Oct 23, 2023

Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."

Jupyter Notebook 41 15 Updated Jan 25, 2019

Code for reproducing figures and results in the paper ``Early stopping in deep networks: Double descent and how to eliminate it''

Jupyter Notebook 15 7 Updated Jun 27, 2022

Code for "Unifying Grokking and Double Descent" from the NeurIPS 2022 ML Safety Workshop.

Jupyter Notebook 10 Updated Feb 17, 2023

Singular Learning of Double Descent

Jupyter Notebook 4 Updated Apr 16, 2024

Clone of https://gitlab.cs.washington.edu/pmp10/stat570.

Jupyter Notebook 2 Updated Dec 10, 2018

Using WBIC-like method to estimate quantities that behaves qualitatively like the learning coefficient for large network.

Jupyter Notebook 2 Updated Aug 19, 2023

This repository contains code to run experiments and generate plots described in the paper.

Jupyter Notebook 2 Updated Aug 23, 2023
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