rivercold

BERT-unsupervised-OOD

Code for ACL 2021 paper "Unsupervised Out-of-Domain Detection via Pre-trained Transformers"

ACClip-Pytorch

The PyTorch implementation of ICLR2020 submission: Why ADAM Beats SGD for Attention Models (https://openreview.net/pdf?id=SJx37TEtDH)

Zero-Shot-Learning

rivercold.github.io

Personal Website

AdaIN-style

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

ArxivDigest

Personalized Arxiv Digest using Large Language Models

CLTS

Cross-lingual Transfer of Weak Supervision (EMNLP Findings 2020)

ditto

Code for the paper "Deep Entity Matching with Pre-trained Language Models"

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and FastChat-T5.

FoodborneNYC

Discovering foodborne illness outbreaks on Yelp and Twitter for the NYC DOHMH

gkaramanolakis.github.io

Portfolio website

ISWD

Iterative Seed Word Distillation (EMNLP 2019)

LSTM-ER

Implementation of End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures in ACL2016.

MT-Seq2Seq

Off-Policy-2-Stage

Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130

ood-text-density

Fork Code for EMNLP'21 paper "Types of Out-of-Distribution Texts and How to Detect Them"

OpenNRE

An Open-Source Package for Neural Relation Extraction (NRE)

Personalized-Arxiv-digest

This repo aims to provide a better daily digest for newly published arxiv papers based on your own research interests and descriptions.

reading-list

A list of papers and resources I have read, am reading, or want to read. The majority are deep learning research papers.

scrapy

Scrapy, a fast high-level web crawling & scraping framework for Python.

simhash

A Python Implementation of Simhash Algorithm

skip-thoughts

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

sklearn-demo

This repository contains demos for sklearn.

SplitShards

Split big shards for Selective Search

StackGAN

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

tensorflow

Computation using data flow graphs for scalable machine learning

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

UMich_Medhelp

using word2vec to analyze the medical forum: Medhelp

User-Preference-Predicting