pxu23's Stars
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
facebookresearch/seamless_communication
Foundational Models for State-of-the-Art Speech and Text Translation
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
facebookresearch/fairseq2
FAIR Sequence Modeling Toolkit 2
microsoft/task_oriented_dialogue_as_dataflow_synthesis
Code to reproduce experiments in the paper "Task-Oriented Dialogue as Dataflow Synthesis" (TACL 2020).
yangkevin2/emnlp22-re3-story-generation
swj0419/detect-pretrain-code
This repository provides an original implementation of Detecting Pretraining Data from Large Language Models by *Weijia Shi, *Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu , Terra Blevins , Danqi Chen , Luke Zettlemoyer.
atoptima/Coluna.jl
Branch-and-Price-and-Cut in Julia
goxdve/BiLSTM-CRF
A Pytorch implementation for NER using BiLSTM-CRF
jarfo/kchar
Character-Aware Neural Language Models. A keras-based implementation
jlin816/dialop
DialOp: Decision-oriented dialogue environments for collaborative language agents
Lornatang/GoogLeNet-PyTorch
Restore the official code 100% and improve it to make it easier to use.
FengZiYjun/CharLM
Character-aware Neural Language Model implemented by PyTorch
HanjieChen/Reading-List
jennhu/metalinguistic-prompting
Materials for "Prompting is not a substitute for probability measurements in large language models" (EMNLP 2023)
yangkevin2/emnlp2020-stream-beam-mt
ruyimarone/data-portraits
Documenting large text datasets 🖼️ 📚
seongjunyun/Character-Aware-Neural-Language-Models
implementaion of Character Aware Neural Language Model, which is proposed by Yoon Kim
timvieira/semirings
Semirings are a powerful unifying abstraction for dynamic programming algorithms
Este1le/slr_handshape
Handshape-aware sign language recognition.
fe1ixxu/LMS_FD
This is the repository for our EMNLP 2023 paper: Condensing Multilingual Knowledge with Lightweight Language-Specific Modules.
fladhak/contrastive_error_attribution
mjpost/baltimore-map
angadsinghsandhu/ShakespeareGPT
bohanhou14/semstamp-data
Este1le/clean_with_moses
Clean parallel corpus with moses.
HanjieChen/iml-2022
UVa CS 4501/6501 Interpretable Machine Learning
isabelcachola/request-llm
JHU-WORK/ml-dl-final
stellali7/SSL_PSR
GitHub repo for the paper: A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature Extractors