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Projects in Awesome Lists by RylanSchaeffer

A curated list of projects in awesome lists by RylanSchaeffer .

https://github.com/rylanschaeffer/astrafellowship-when-do-vlm-image-jailbreaks-transfer

Code for Arxiv When Do Universal Image Jailbreaks Transfer Between Vision-Language Models?

Last synced: 28 Oct 2024

https://github.com/rylanschaeffer/harvardam207-prior-networks

Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks

bayesian-neural-networks neurips-2018 nips nips-2018 prior-networks

Last synced: 11 Oct 2024

https://github.com/rylanschaeffer/stanford-ai-alignment-double-descent-tutorial

Code for Arxiv Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle

deep-learning double-descent machine-learning

Last synced: 11 Oct 2024

https://github.com/rylanschaeffer/mit2.152-nonlinear-control

MIT Spring 2020 Mechanical Engineering 2.152 Nonlinear Control (Professor Jean-Jacques Slotine)

adaptive-control contraction-analysis lyapunov-functions nonlinear-control nonlinear-dynamics robust-control

Last synced: 11 Oct 2024

https://github.com/rylanschaeffer/mit6.438-probabilistic-graphical-models

MIT Fall 2020 EECS 6.438 Algorithms for Inference (Professors Devavrat Shah and Caroline Uhler)

Last synced: 15 Nov 2024

https://github.com/rylanschaeffer/koyejolab-why-has-predicting-downstream-capabilities-remained-elusive

Code for Preprint: Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?

Last synced: 11 Oct 2024

https://github.com/rylanschaeffer/koyejolab-collapse-or-thrive

Code for Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World

Last synced: 08 Nov 2024

https://github.com/rylanschaeffer/stanford-cs-242-programming-languages

Repo for Stanford CS 242 Programming Languages Fall 2022 with Prof. Aikens

programming-languages programming-languages-theory stanford stanford-university

Last synced: 15 Nov 2024

https://github.com/rylanschaeffer/harvardmath110-vector-space-methods-for-odes

Harvard Spring 2020 Math 110 Vector Space Methods for ODEs (Christian Brennecke)

functional-analysis hilbert-spaces linear-operators ordinary-differential-equations

Last synced: 15 Nov 2024

https://github.com/rylanschaeffer/fietelab-rcrp

Code for UAI 2021 paper Efficient Online Inference for Nonparametric Mixture Models

Last synced: 15 Nov 2024

https://github.com/rylanschaeffer/papers-visualizations

Plotting data from papers to better understand results!

Last synced: 15 Nov 2024

https://github.com/rylanschaeffer/droplet-analysis

2015 Senior Design Project

Last synced: 15 Nov 2024

https://github.com/rylanschaeffer/fietelab-sorscher-2022-reproduction

(Partial) Code for preprint: Disentangling Fact from Grid Cell Fiction in Trained Deep Path Integrators

Last synced: 15 Nov 2024

https://github.com/rylanschaeffer/fietelab-dynamical-crp

Code for CoLLAs 2022 paper Streaming Inference for Infinite Nonstationary Clustering

Last synced: 15 Nov 2024

https://github.com/rylanschaeffer/fietelab-ribp

Code for ICML 2022 paper Streaming Inference for Infinite Feature Models

Last synced: 15 Nov 2024

https://github.com/rylanschaeffer/fietelab-dp-means-plus-plus

(Abandoned) Endowing DP-Means with K-Means++ Initialization

Last synced: 15 Nov 2024

https://github.com/rylanschaeffer/stanford-cs-265-rand-algs

Repo for Stanford CS 265 Randomized Algorithms Fall 2022 with Prof. Wootters

randomized-algorithms stanford stanford-university

Last synced: 15 Nov 2024