AI-Natural-Language-Processing-Lab

AI-Natural-Language-Processing-Lab

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Home Page:https://blog.ncsoft.com/creator-crew-38-20210917/

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AI-Natural-Language-Processing-Lab's repositories

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icl-ceil-Compositional-Exemplars-for-In-context-Learning

Code for our paper “Compositional Exemplars for In-context Learning”.

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ChatGPT-Language-Models-for-Dialogue

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

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emotalkingface

The code for the paper "Speech Driven Talking Face Generation from a Single Image and an Emotion Condition"

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Wav2Pix-SPEECH-CONDITIONED-FACE-GENERATION-using-GAN

Speech-conditioned face generation using Generative Adversarial Networks

License:GPL-3.0Stargazers:0Issues:0Issues:0

helm-Holistic-Evaluation-of-Language-Models

Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110).

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smoothquant-Post-Training-Quantization-for-Large-Language-Models

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

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VLC-BERT-vision-language-commonsense-transformer-model

Code for WACV 2023 paper "VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge"

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GLM-130B-Open-Bilingual-Pre-Trained-Model

GLM-130B: An Open Bilingual Pre-Trained Model

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headjackai-sdk-

knowledge transfer framework that sublimates source data sets to pretrained feature

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keras-nlp

Industry-strength Natural Language Processing workflows with Keras

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denoiser-Real-Time-Speech-Enhancement

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

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DD-GloVe-train-time-debiasing-algorithm-to-learn-GloVe-word-embeddings

Repository for the implementation and evaluation of DD-GloVe, a train-time debiasing algorithm to learn GloVe word embeddings by leveraging dictionary definitions.

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MAGIC-Language-Models-Can-See

Language Models Can See: Plugging Visual Controls in Text Generation

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lm-debugger-in-transformer-based-language-models

The official code of LM-Debugger, an interactive tool for inspection and intervention in transformer-based language models.

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cvss

CVSS: A Massively Multilingual Speech-to-Speech Translation Corpus

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concurrentqa

This repo contains data and code for the paper "Reasoning over Public and Private Data in Retrieval-Based Systems."

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PERT-China-Propose-A-New-Pre-trained-Language-Model-NLU

PERT: Pre-training BERT with Permuted Language Model

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Code-LMs-large-neural-language-models

Guide to using pre-trained large language models of source code

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nlu

This repo contains every ML/NLU related code written by Botpress in the NodeJS environment. This includes the Botpress Standalone NLU Server.

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nlu-2

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

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BLIP-Unified-Vision-Language-Understanding-and-Generation

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

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hierarchical-domain-adaptation-for-Pretrained-Language-Models

Code of NAACL 2022 "Efficient Hierarchical Domain Adaptation for Pretrained Language Models" paper.

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