littleflow3r

attention-bilstm-for-relation-classification

(minimal implementation) BiLSTM-Attention for Relation Classification

seq2seq-learning-for-machine-translation

(minimal implementation) Seq2Seq models (Machine translation task, Japanese-English)

bilstm-pytorch-torchtext

Pytorch+TorchText: Kaggle comment classification task using simple BiLSTM

hierarchical-attention-networks-for-document-classification

Pytorch implementation of "Hierarchical Attention Networks for Document Classification, 2016"

bigru-crf-pytorch-sentence-segmentation

BiGRU-CRF based japanese sentence segmentation (pytorch)

causal-ceg

Supplementary materials: Causal-Evidence Graph for Causal Relation Classification (SAC, 2024)

causal-llm

Supplementary materials: Prompt-based vs. Fine-tuned LLMs Toward Causal Graph Verification

sequence-labeling-with-pytorch

(minimal implementation) BI-LSTM + CNN character encoder for sequence labeling task.

a-PyTorch-Tutorial-to-Sequence-Labeling

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

annotation-tool

Repository for my annotation tool

bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

bioner-cross-sharing

Causality4NLP_Papers

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

CausaLM

CausaLM: Causal Model Explanation Through Counterfactual Language Models

conlleval

conlleval in Python (script for chunking/NER evaluation)

dcai-lab

Lab assignments for Introduction to Data-Centric AI, MIT IAP 2023 👩🏽‍💻

eda_nlp

Code for the EMNLP-IJCNLP paper: Easy data augmentation techniques for boosting performance on text classification tasks.

lexical-graph

🕸️WordNet visualization

littleflow3r.github.io

HTML code for littleflow3r.github.io

LM-CPPF

The official implementation of the ACL 2023 paper, "Paraphrasing-Guided Data Augmentation for Contrastive Prompt-based Few-shot Fine-tuning".

mol2vec

Mol2vec - an unsupervised machine learning approach to learn vector representations of molecular substructures

NeuroNLP2

Deep neural models for core NLP tasks (Pytorch version)

Neuropathic-Pain-Diagnosis-Simulator

Neuropathic Pain Diagnosis Simulator

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

path-to-causality

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

pytorch_advanced

書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです

RGCN-pytorch

Pytorch implementation of Relational GCN for node classification

torch-light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

transformers