jm-kang's Stars
facebookresearch/llama
Inference code for LLaMA models
google-research/bert
TensorFlow code and pre-trained models for BERT
tloen/alpaca-lora
Instruct-tune LLaMA on consumer hardware
artidoro/qlora
QLoRA: Efficient Finetuning of Quantized LLMs
hunkim/DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
makcedward/nlpaug
Data augmentation for NLP
adambielski/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
castorini/anserini
Anserini is a Lucene toolkit for reproducible information retrieval research
PrithivirajDamodaran/Parrot_Paraphraser
A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
danqi/acl2020-openqa-tutorial
ACL2020 Tutorial: Open-Domain Question Answering
kakaobrain/torchgpipe
A GPipe implementation in PyTorch
bigscience-workshop/biomedical
Tools for curating biomedical training data for large-scale language modeling
AkariAsai/learning_to_retrieve_reasoning_paths
The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".
mrqa/MRQA-Shared-Task-2019
Resources for the MRQA 2019 Shared Task
msaveski/www_personal
Personal Webpage
facebookresearch/UnsupervisedQA
Unsupervised Question answering via Cloze Translation
seanie12/neural-question-generation
Pytorch implementation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
ujjax/question-generation
Neural Models for Key Phrase Detection and Question Generation
2sang/Moducon-Docker-tf-setup
모두의연구소 2018 모두콘 '도커로 딥러닝 개발환경 올리기' 발표자료
kaist-cp/cs500
Moved to https://cp-git.kaist.ac.kr/jeehoon.kang/cs500
faneshion/HiNT
Implementation of Hierarchical Neural maTching model proposed in SIGIR'18 for ad-hoc retrieval
bflashcp3f/schema-to-json
Schema-Driven Information Extraction from Heterogeneous Tables
EpiSci/SafeAI
Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras
HongGiwon/Wikidata_relation_extractor
Code to extract KB triples from given contexts using Wikidata API
wjdghks950/Style-Transformer-for-MSD
Expert-laymen style transfer model based on the Style Transformer (Dai. et al., 2019). This code is based on the MSD dataset (Cao et al., 2020), which is a task for style transfer between an expert-level language to a laymen language for the ease of communication.
jm-kang/Distill-or-Annotate
ACL 2023. Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models
jm-kang/feed100-client
jm-kang/feed100-server
jm-kang/feed100-web
jm-kang/ionic-sample
sample test