boscoj2008

ContextualBlocker-for-EM

A Graph-Based Blocking Approach for Entity Matching Using Contrastively Learned Embeddings

transformer-series

this repo will focus on using Transformers for various NLP downstream tasks

584-final

Sentence Embeddings using Supervised Contrastive Learning. Danqi Liao.

A-Roadmap-for-Transfer-Learning

flowchart

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

boscoj2008.github.io

Data Science Portfolio

BRIO

ACL 2022: BRIO: Bringing Order to Abstractive Summarization

dacon

Data Augmentation for Entity Matching using Consistency Learning

data-engineer-handbook

This is a repo with links to everything you'd ever want to learn about data engineering

DeCLUTR

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

diabetes-classification

KNN algorithm, data file and notebook

ditto

Code for the paper "Deep Entity Matching with Pre-trained Language Models"

ember

data and code for the paper: "Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction"

emea

AE

google-research

Google Research

Hierarchical-attention-networks-pytorch

Hierarchical Attention Networks for document classification

KNN-BERT

Code for paper: KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier

komt

Korean Multi-task Instruction Tuning

Machine-Learning-Collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

nlpaug

Data augmentation for NLP

pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

sccl

Pytorch implementation of Supporting Clustering with Contrastive Learning, NAACL 2021

SCL-for-Text-Clustering

sentence-representations

SimCSE

EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings

SupCL-Seq

Supervised Contrastive Learning for Downstream Optimized Sequence Representations

T-DNA

Source code for the ACL-IJCNLP 2021 paper entitled "T-DNA: Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation" by Shizhe Diao et al.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

udapter

UDapter is a multilingual dependency parser that uses "contextual" adapters together with language-typology features for language-specific adaptation. This repository includes the code for "UDapter: Language Adaptation for Truly Universal Dependency Parsing"

youtube_tutorial

This is an example of how to push to github