littleflow3r Goto Github PK
Type: User
Bio: 自分に作れないものは理解できない
Location: Tokyo, Japan
Type: User
Bio: 自分に作れないものは理解できない
Location: Tokyo, Japan
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
Repository for my annotation tool
Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)
(minimal implementation) BiLSTM-Attention for Relation Classification
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
BiGRU-CRF based japanese sentence segmentation (pytorch)
Pytorch+TorchText: Kaggle comment classification task using simple BiLSTM
Supplementary materials: Causal-Evidence Graph for Causal Relation Classification (SAC, 2024)
Supplementary materials: Prompt-based vs. Fine-tuned LLMs Toward Causal Graph Verification
A reading list for papers on causality for natural language processing (NLP)
CausaLM: Causal Model Explanation Through Counterfactual Language Models
conlleval in Python (script for chunking/NER evaluation)
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2023 👩🏽💻
Code for the EMNLP-IJCNLP paper: Easy data augmentation techniques for boosting performance on text classification tasks.
My implementation of ELMo with Pytorch
Pytorch implementation of "Hierarchical Attention Networks for Document Classification, 2016"
A simple Neural Network for sentiment analysis, embedding sentences using a Transformer network.
Keras: using Keras with ELMo vs Glove for sentiment analysis task
Supplementary materials: KG Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery
🕸️WordNet visualization
HTML code for littleflow3r.github.io
The official implementation of the ACL 2023 paper, "Paraphrasing-Guided Data Augmentation for Contrastive Prompt-based Few-shot Fine-tuning".
Word2Vec model trained across 640k+ materials science journal articles
Mol2vec - an unsupervised machine learning approach to learn vector representations of molecular substructures
Deep neural models for core NLP tasks (Pytorch version)
Neuropathic Pain Diagnosis Simulator
Natural Language Processing Tutorial for Deep Learning Researchers
A Tutorial about Programming for Natural Language Processing
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.