Leon Derczynski (leondz)

leondz

Geek Repo

Company:NVIDIA · ITU Copenhagen

Location:Copenhagen · Seattle

Home Page:https://www.derczynski.com

Twitter:@leonderczynski

Github PK Tool:Github PK Tool


Organizations
ITUnlp

Leon Derczynski's repositories

garak

LLM vulnerability scanner

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hatespeechdata

Catalog of abusive language data (PLoS 2020)

emerging_entities_17

Dataset for the Emerging & Novel Entity NER task (WNUT '17)

entity_recognition

framework for doing NER and other types of entity recognition, in Python

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lm_risk_cards

Risks and targets for assessing LLMs & LLM vulnerabilities

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generalised-brown

C++ implementation of Generalised Brown clustering and python scripts for feature generation (AAAI 2016)

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iu-nlpml

Innopolis Natural Language Processing & Machine Learning

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awesome-danish

A curated list of awesome resources for Danish language technology

acl-anthology

Data and software for building the ACL Anthology.

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acl-style-files

Official style files for papers submitted to venues of the Association for Computational Linguistics

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aclrollingreview

ACL Rolling Review website

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Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

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CyberAgressionAdo-v1

Dataset of Teen Cyberbullying scenari in French

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danlp

DaNLP is a repository for Natural Language Processing resources for the Danish Language.

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datasets

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

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huggingface_hub

All the open source things related to the Hugging Face Hub.

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lm-human-preferences

Code for the paper Fine-Tuning Language Models from Human Preferences

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mole-stance

MoLE: Cross-Domain Label-Adaptive Stance Detection

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nanoChatGPT

A crude RLHF layer on top of nanoGPT with Gumbel-Softmax trick

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Prompt-Engineering-Guide

:octopus: Guide and resources for prompt engineering

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RWKV-LM

RWKV v2 is a RNN with transformer-level performance. It can be directly trained like a GPT transformer (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

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RWKV-v2-RNN-Pile

RWKV-v2-RNN trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details.

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transformers

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

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