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Antonio V Mendoza's Projects

bottom-up-attention icon bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

bottom-up-top-down-vqa icon bottom-up-top-down-vqa

This is a replication of the winning 2017 VQA model. This project more specifically investigates how different weight normalization techniques and the use of different parameter optimizers effect overall validation performance

halonet-pytorch icon halonet-pytorch

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

lxmert icon lxmert

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

mmf icon mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

nlp icon nlp

🤗nlp – Datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow

qtl-analysis icon qtl-analysis

In This QTL Analyis, we studied the Wergedal 2006 dataset. The purpose for this study was to Identify QTL regions that help regulate femur mechanical properties, geometric properties, and BMD.

recurrent-neuralnetwork- icon recurrent-neuralnetwork-

The goal of this model is to experiment with how well a basic Recurrent Neural Network with Long-Short-Term-Memory cells can predict the daily adjusted daily closing prices for the company Tesla in December of 2016.

remote-control-files icon remote-control-files

Repo where I can continuously save/customize my rc files for bash and vim and encrypt credentials for ease of working on different servers

transformers icon transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

trasformer icon trasformer

Architecture from "Attention is all you need" on an English to Vietnamese dataset

vltk icon vltk

A toolkit for vision-language processing to support the increasing popularity of mulit-modal transformer-based models

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