Simple Annotated implementation of GPT-NeoX in PyTorch
This is a simpler implementation of GPT-NeoX in PyTorch. We have taken out several optimizations in GPT-NeoX for simplicity.
This is a simpler implementation of GPT-NeoX in PyTorch. We have taken out several optimizations in GPT-NeoX for simplicity.
aw-watcher-ask An ActivityWatch watcher to pose questions to the user and record her answers. This watcher uses Zenity to present dialog boxes to the
"# bpe_algorithm_can_finetune_tokenizer" this is an implyment for https://github
Deduplication is the task to combine different representations of the same real world entity. This package implements deduplication using active learning. Active learning allows for rapid training wi
Rachford-Rice Contest This is the 25 + 1 year anniversary version of the 1995 Rachford-Rice contest. Can you solve the Rachford-Rice problem for all t
LSTC: Boosting Atomic Action Detection with Long-Short-Term Context This Repository contains the code on AVA of our ACM MM 2021 paper: LSTC: Boosting
Sentiment Analyzer The goal of this project is to perform sentiment analysis on textual data that people generally post on websites like social networ
Speech to text Streamlit-app! 👄 This speech to text recognition is powered by t
Transliterator Text Editor This is a simple transliteration program which is used to convert english word to phonetically matching word in another lan
ERNIE Source code and dataset for "ERNIE: Enhanced Language Representation with Informative Entities" Reqirements: Pytorch=0.4.1 Python3 tqdm boto3 r
Pre-training BERT Masked Language Models (MLM) This repository contains the method to pre-train a BERT model using custom vocabulary. It was used to p
Concept is a technique that leverages CLIP and BERTopic-based techniques to perform Concept Modeling on images.
Transformers are all you need In this workshop we will be exploring NLP state of the art transformers, with SOTA models like T5 and BERT, then build a
Netflix-recommendation-system NLP, Machine learning About Recommendation algorithms are at the core of the Netflix product. It provides their members
IMDB film review sentiment classification based on BERT's supervised learning model. On the other hand, the model can be extended to other natural language multi-classification tasks.
CoNLL-English NER Task en | ch Motivation Course Project review the pytorch framework and sequence-labeling task practice using the transformers of Hu
Schrodinger's Cat Schrodinger'sCat is a Shellcode antivirus evasion framework Technical principle Please visit my blog https://idiotc4t.com/ How to us
chinese-shadowing Simple APP for shadowing chinese. With this application, it is very easy to record yourself, play the sound recorded and listen to s
Adversarial Purification with Score-based Generative Models by Jongmin Yoon, Sung Ju Hwang, Juho Lee This repository includes the official PyTorch imp
Toward Model Interpretability in Medical NLP LING380: Topics in Computational Linguistics Final Project James Cross ( 1 Mar 04, 2022
IMS-Toucan is a toolkit to train state-of-the-art Speech Synthesis models. Everything is pure Python and PyTorch based to keep it as simple and beginner-friendly, yet powerful as possible.