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automated-story-generation-with-bert

Summer Research in Entertainment Intelligence Lab, Gatech, 2019

changyingshan

comp3111-spring2018-projectbasecode

A base code for COMP3111 course project (Spring 2018)

comp4021

HKUST Internet Computing Course Projects with local PHP root server

gt-cs3600

2019 Spring - Artificial Intelligence

gt-cs4235

2019 Spring - Intro to Information Security

gt-cs4460

2019 Spring - Information Visualization

gt-cs4641

2019 Spring - Machine Learning

hkust-comp2012-programming-assignment

2017 Fall - Intro to OOP and Data Structures

hkust-comp4651-course-project

2018 Fall - Cloud Computing

hkust-comp4901k-project3

Language Model Course Project - 2018 Fall - Machine Learning for NLP

inductive_counting_with_lms

This work provides extensive empirical results on training LMs to count. We find that while traditional RNNs trivially achieve inductive counting, Transformers have to rely on positional embeddings to count out-of-domain. Modern RNNs (e.g. rwkv, mamba) also largely underperform traditional RNNs in generalizing counting inductively.

pytorch-unet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

refer_lichengunc

python3 version of https://github.com/lichengunc/refer (their old code was written in python2.7)

skewed_relations_t2i

Codebase for the paper "Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation"

webqa_x101fpn

webqna.github.io

wikipedia

A Pythonic wrapper for the Wikipedia API

zdxdsw.github.io

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