annaproxy Goto Github PK

amnesic_probing

annaproxy

argostime

Keep an eye on prices

awful-ai

😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

big-sleep

A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun

byteglitch

Glitch jpegs

code-golf

A game designed to let you show off your code-fu by solving problems in the least number of characters.

collaborative-distillation

PyTorch code for our CVPR'20 paper "Collaborative Distillation for Ultra-Resolution Universal Style Transfer"

decoderlens-data

dl4nlp

eternity

ff-unitify

Unitify your nouns in your browser

fishlanguage

Fork of fish interpreter for my own convenience

fsm

Finite State Machine Designer

grail

Grail is a theorem prover for multimodal type-logical grammars

krr-wgslides-2023

A place to put my slides

mcpd-ad

automatic differentiation of a simple functional language

modules

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

morphology_and_generalisation

Repository with code for interpretability analyses of a recurrent neural network predicting German plural nouns.

netflix-analysis

To analyze how much netflix you and your family watch.

nlp2-probing-lms

Assignment for NLP2 on probing language models

nottetris2

A mess

olmpics

opennmt-py

Open Source Neural Machine Translation in PyTorch

risk

Trying to code the game Risk in Python for practice

rl2020

Raging Lunatics 2020

transformer_logic_compact

udify

A single model that parses Universal Dependencies across 75 languages. Given a sentence, jointly predicts part-of-speech tags, morphology tags, lemmas, and dependency trees.

udify-metalearning

Code for the paper "Meta-learning for fast cross-lingual adaptation in dependency parsing".

uva-fact-ai-course

This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accountability, Confidentiality, and Transparency (FACT). These were implemented as part of the FACT-AI course at the University of Amsterdam.