Smu-Tan

Smu-Tan's Stars

• fxsjy/jieba

  结巴中文分词

  Language:Python33.1k1.3k8516.7k

• UKPLab/sentence-transformers

  State-of-the-Art Text Embeddings

  Language:Python14.8k1392.1k2.4k

• sdatkinson/NeuralAmpModelerPlugin

  Plugin for Neural Amp Modeler

  Language:C++1.9k57341127

• pemistahl/lingua-py

  The most accurate natural language detection library for Python, suitable for short text and mixed-language text

  Language:Python1.1k118244

• huawei-noah/trustworthyAI

  Trustworthy AI related projects

  Language:Python95021103213

• zjunlp/KnowledgeEditingPapers

  Must-read Papers on Knowledge Editing for Large Language Models.

  82227853

• trevismd/statannotations

  add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.

  Language:Python64057971

• google/svcca

  Language:Jupyter Notebook623250137

• acl-org/aclpubcheck

  Tools for checking ACL paper submissions

  Language:Python55454547

• zhijing-jin/CausalNLP_Papers

  A reading list for papers on causality for natural language processing (NLP)

  48623057

• Hunter-DDM/knowledge-neurons

  Code for the ACL-2022 paper "Knowledge Neurons in Pretrained Transformers"

  Language:Python14841010

• minerllabs/baselines

  A collection of baselines for the MineRL environment/datasets & the NeurIPS 2021 MineRL competitions

  Language:Python146211233

• robertostling/eflomal

  Efficient Low-Memory Aligner

  Language:C13561430

• PANXiao1994/mRASP2

  Language:Python11913025

• lyeoni/gpt-pytorch

  PyTorch Implementation of OpenAI GPT

  Language:Python1144328

• YRdddream/attattr

  Language:Python8721015

• huggingface/block_movement_pruning

  Block Sparse movement pruning

  Language:Python777315

• amirfeder/CausaLM

  CausaLM: Causal Model Explanation Through Counterfactual Language Models

  Language:Python545113

• RobertCsordas/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.

  Language:Python46029

• cbaziotis/lm-prior-for-nmt

  This repository contains source code for the paper "Language Model Prior for Low-Resource Neural Machine Translation"

  Language:Jupyter Notebook40397

• NaysanSaran/markov-chain

  Language:Jupyter Notebook406140

• VarunGumma/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python18003

• anzeyimana/Pytorch-PCGrad-GradVac-AMP-GradAccum

  PyTorch 1.11 reimplementation of multi task gradient adaptation ideas: Gradient Surgery (PCGrad) and Gradient Vaccine

  Language:Python17003

• formiel/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python17000

• elorala/interlingua-visualization

  Language:HTML7003

• BrightXiaoHan/AdapterMT

  Implementation of [Simple, Scalable Adaptation for Neural Machine Translation](https://arxiv.org/abs/1909.08478)

  5200

• robertostling/parallel-tools

  Tools for searching multi-parallel corpora

  Language:Python4101

• lishangjie1/MMNMT

  Language:Python3

• rainyuniverse/fairseq-adapter

  use Fairseq framework to implement adapter model

  Language:Python3

• Smu-Tan/ZS-NMT-Variations

  The repository of EMNLP 2023 paper "Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance"

  Language:Shell2110