Bruno Henrique's repositories

cramming

Cramming the training of a (BERT-type) language model into limited compute.

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custom-intent

create chatbots, image classification and linear regression models with three lines of code

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MAPLE

The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study (WWW'23)

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semsup-xc

SemSup-XC: Semantic Supervision for Extreme Classification

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thinc

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

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WACV23_TSNet

The pytorch implementation of our WACV23 paper "Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis".

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av_hubert

A self-supervised learning framework for audio-visual speech

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Binder

Code for our paper "Binding Language Models in Symbolic Languages"

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BiToD

A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modeling

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dialogue-planner

Task-oriented dialogue system for calendar management in Czech language based on Dialmonkey framework, using MorphoDiTa for lemmatization.

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DiffSinger

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code

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DNNC-few-shot-intent

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference

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extreme-bert

ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT”.

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jina

An easier way to build neural search on the cloud

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MM-REACT

Official repo for MM-REACT

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NSpM

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

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QuantumEducation

Quantum Computing Education for the Software Engineer

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stylegan3

Official PyTorch implementation of StyleGAN3

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SyntaSpeech

Official PyTorch implementation of SyntaSpeech (IJCAI 2022)

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the-algorithm

Source code for Twitter's Recommendation Algorithm

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true_few_shot

Code for the paper "True Few-Shot Learning in Language Models" (https://arxiv.org/abs/2105.11447)

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unsupervised-video-dubbing

Unsupervised video dubbing project

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vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

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Zero-Shot-DST

Zero-shot dialogue state tracking (DST)

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