Rafael J P D's repositories
multi-sensor-data-collection
MultiSensor Data Collection is a mobile app that seamlessly gathers data from various sensors, including GPS, camera, and audio, allowing you to create a comprehensive dataset locally and effortlessly transmit it to the cloud for further analysis and storage.
a-PyTorch-Tutorial-to-Image-Captioning
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
BMT
Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)
city-surfaces
CitySurfaces semantic segmentation of sidewalk surfaces
doccano
Open source annotation tool for machine learning practitioners.
google-research
Google Research
languagetool
Style and Grammar Checker for 25+ Languages
llama
Inference code for genesis models
manim
A community-maintained Python framework for creating mathematical animations.
MDVC
PyTorch implementation of Multi-modal Dense Video Captioning (CVPR 2020 Workshops)
multimodal
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
ollama
Get up and running with Llama 3, Mistral, Gemma, and other large language models.
open-webui
User-friendly WebUI for LLMs (Formerly Ollama WebUI)
portuguese-bert
Portuguese pre-trained BERT models
PraCegoVer
#PraCegoVer is a multi-modal dataset containing images associated to Portuguese captions based on posts from Instagram.
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
rafaelpezzuto.github.io
My personal website
tile2net
Automated mapping of pedestrian networks from aerial imagery tiles
trax
Trax — Deep Learning with Clear Code and Speed
VideoClickCapture
This repo is a script that to capture the x,y positions when the user click in the displayed video
vision
Datasets, Transforms and Models specific to Computer Vision
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Xmodal-Ctx
Official PyTorch implementation of our CVPR 2022 paper: Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning
xmodaler
X-modaler is a versatile and high-performance codebase for cross-modal analytics(e.g., image captioning, video captioning, vision-language pre-training, visual question answering, visual commonsense reasoning, and cross-modal retrieval).
yolov10
YOLOv10: Real-Time End-to-End Object Detection