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2d-static-friction-simulation

This is a static simulation for friction force in a 2-d environment.

ai-spam-filter

Naive-Bates Based Spam Filter, Reached 0.25% Test Error On Email Before 2010

align-transformers

This is an old library. Try pyvene instead!

arc_synthetic_extend

Synthetic examples created as an extension of The Abstraction and Reasoning Corpus (ARC)

autonomous-hockey-robot

University Of Pennsylvania Robockey Competition

awesome-ai-research-intern-list

List of AI Internships

awesome-knowledge-distillation

Awesome Knowledge Distillation

babyarc

Baby Abstract Reasoning Corpus (BabyARC) dataset engine, for generating grid-world-based abstract reasoning tasks on a large scale.

bert-auto-distill

bert-lrp

On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification

c-multiple-process-communications

causal-distill

The Codebase for Causal Distillation for Language Models (NAACL '22)

causal-distill-xxs

The Codebase for Causal Distillation for Task-Specific Models

causal-proxy-model

The Codebase for Causal Proxy Model

cs157-comp-logic-notes

Class notes for CS157 at Stanford University

dicom2nii_batch_tool

A simple tool to batch processing conversion of dcm images to nii images using dcm2nii.exe

emnlp2019-wordvectors

fg2020-async

Multimodal Asynchronous Deep Fusion LSTM for Valence and Arousal Recognition

frankaging.github.io

Personal Website

gdtreebank

generative-physics-inference

Slip or Not? Unsupervised Learning to Understand Physical Scene Using Multimodal Variational Physics Inference Network

github-readme-stats

:zap: Dynamically generated stats for your github readmes

groundedscan

Grounded SCAN data set.

image-edge-detection-research-

image-game

interchange-intervention-training

The codebase for Inducing Causal Structure for Interpretable Neural Networks

java-server

Multi-threaded Server

josephhardinee.github.io

Personal website

lat-for-transformer

Structured Self-Attention Weights Encode Semantics in Sentiment Analysis

limits-cross-domain-transfer

Toolkit for a systematic exploration of how much transfer occurs when models are denied any information about word identity via random scrambling. Codebase for "Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models".