AristotelisPap

google-research

Google Research

spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

skorch

A scikit-learn compatible neural network library that wraps PyTorch

Git-Commands

A list of commonly used Git commands

snscrape

A social networking service scraper in Python

stellargraph

StellarGraph - Machine Learning on Graphs

Top2Vec

Top2Vec learns jointly embedded topic, document and word vectors.

pegasus

language

Shared repository for open-sourced projects from the Google AI Language team.

contextualized-topic-models

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

tapas

End-to-end neural table-text understanding models.

performer-pytorch

An implementation of Performer, a linear attention-based transformer, in Pytorch

BERTweet

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

huggingtweets

Tweet Generation with Huggingface

cuad

CUAD (NeurIPS 2021)

SentAugment

SentAugment is a data augmentation technique for NLP that retrieves similar sentences from a large bank of sentences. It can be used in combination with self-training and knowledge-distillation, or for retrieving paraphrases.

tweeteval

Repository for TweetEval

squad

Starter code for Stanford CS224n default final project on SQuAD 2.0

bio-lm

We evaluate many models used for biomedical and clinical nlp tasks, and train new models that perform much better.

bert-for-inference

A small repo showing how to easily use BERT (or other transformers) for inference

HatefulUsersTwitter

Code for the paper "Characterizing and Detecting Hateful Users on Twitter"

FANG

FANG: Leveraging Social Context for Fake News Detection Using Graph Representation

OOD-detection-using-OECC

Outlier Exposure with Confidence Control for Out-of-Distribution Detection

USCthesis

LaTeX template in accordance with the University of Southern California Theses and Dissertations Formatting Guidelines.

cwmidi

Notebooks

A repo for shared notebooks

Graph-Convolutional-Neural-Networks-for-Bankruptcy-Prediction-of-US-companies

Designed an Image Segmentation (SegNet) model and a Graph Convolutional Neural Network and applied them on a financial graph database provided by Bloomberg.

permanifold