Rylan Schaeffer's repositories
Stanford-LaTeX-Poster-Template
Stanford LaTeX poster template
Stanford-AI-Alignment-Double-Descent-Tutorial
Code for Arxiv Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle
FieteLab-Nonparametric-SwAV
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
FieteLab-RCRP
Code for UAI 2021 paper Efficient Online Inference for Nonparametric Mixture Models
RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
FieteLab-Dynamical-CRP
Code for CoLLAs 2022 paper Streaming Inference for Infinite Nonstationary Clustering
FieteLab-RIBP
Code for ICML 2022 paper Streaming Inference for Infinite Feature Models
FieteLab-Sorscher-2022-Reproduction
(Partial) Code for preprint: Disentangling Fact from Grid Cell Fiction in Trained Deep Path Integrators
NeurIPS-2020-Reverse-Engineering-RNNs
Code for NeurIPS 2020 paper Reverse-engineering Recurrent Neural Network solutions to a hierarchical inference task for mice.
FieteLab-DP-Means-Plus-Plus
(Abandoned) Endowing DP-Means with K-Means++ Initialization
grid-pattern-formation
repository for Neurips 2019 publication code
incontext-learning
Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"
lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
papers-visualizations
Plotting data from papers to better understand results!
prismatic-vlms
A flexible and efficient codebase for training visually-conditioned language models (VLMs)
qambo
Experiments in Deep Q Learning controlling ambulance placement
sail-blog-no-free-lunch
The SAIL blog on No Free Lunch for Deep Learning in Neuroscience
simple_rl
A simple framework for experimenting with Reinforcement Learning in Python.
Stanford-CS-242-Programming-Languages
Repo for Stanford CS 242 Programming Languages Fall 2022 with Prof. Aikens
Stanford-CS-265-Rand-Algs
Repo for Stanford CS 265 Randomized Algorithms Fall 2022 with Prof. Wootters
three.js
JavaScript 3D Library.
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
webgl-examples
Code examples that accompany the MDN WebGL documentation