Beast code in Giters

jsedoc's starred repositories

metaseq

Repo for external large-scale work

Language:PythonMIT6411 109 292

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

Language:PythonApache-2.04908 30 49

coronavirus-data

This repository contains data on Coronavirus Disease 2019 (COVID-19) in New York City (NYC), from the NYC Department of Health and Mental Hygiene.

949 103 252

kani

kani (カニ) is a highly hackable microframework for chat-based language models with tool use/function calling. (NLP-OSS @ EMNLP 2023)

Language:PythonMIT535 9 13

ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.

Language:Jupyter NotebookMIT524 25 90

Seq2seqChatbots

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

Language:PythonMIT472 40 14

BARTScore

BARTScore: Evaluating Generated Text as Text Generation

Language:PythonApache-2.0301 7 44

Mephisto

A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use.

Language:PythonMIT296 16 254

neural_chat

Code to support training, evaluating and interacting neural network dialog models, and training them with reinforcement learning. Code to deploy a web server which hosts the models live online is available at: https://github.com/asmadotgh/neural_chat_web

Language:PythonMIT176 7 5

bias-bench

ACL 2022: An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models.

Language:Python106 4 22

dataless-model-merging

Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)

Language:PythonApache-2.075 8 6

ReviewRobot

Code for ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis

Language:PythonMIT26 3 4

tree2code

tree2code: Learning Discrete Syntactic Codes for Structural Diverse Translation

Language:PythonGPL-3.026 4 4

circa

Circa (meaning ‘approximately’) dataset aims to help machine learning systems to solve the problem of interpreting indirect answers to polar questions. The dataset contains pairs of yes/no questions and indirect answers, together with annotations for the interpretation of the answer. The data is collected in 10 different social conversation situations (eg. food preferences of a friend).

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