Ivan Felipe Rodriguez (piperod)

piperod

Geek Repo

Company:Brown University

Location:Providence, Rhode Island

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Ivan Felipe Rodriguez's repositories

clps0950_2024

Tutorial for git usage CLPS0950 2024

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post_processing_tools

Postprocessing tools

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rnn_rts

Computing human-like reaction times from stable recurrent vision models

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ImageAI-Flask-Apps

This project offers two Flask applications that utilize ImageAI's image prediction algorithms and object detection models. These apps enable users to upload images and videos for object recognition, detection and analysis, providing accurate prediction results, confidence scores, raw data of detected objects at frame-level, and object insights.

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Harmonization

đź‘‹ Aligning Human & Machine Vision using explainability

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openvino_notebooks

📚 Jupyter notebook tutorials for OpenVINO™

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keras

Deep Learning for humans

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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

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piperod.github.io

A Jekyll blog theme

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beepose

Repository to perform multi animal pose detection. In particular this code is used for bee pose estimation.

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open_model_zoo

Pre-trained Deep Learning models and demos (high quality and extremely fast)

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oak-viewer

Camera Viewer app for OpenCV OAK-D camera

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candidate_models

Candidate Models to evaluate on Brain-Score benchmarks

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RideSharingProject

:oncoming_taxi: Android based Ride Cab Service Application :taxi:

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sbi

Simulation-based inference in PyTorch

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tvb-root

Main TVB codebase

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detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

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softmax_triplet_loss

This repository contains the tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer

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UNet

Semantic Segmentation using U-Net

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CycleGAN-Tensorflow-2

CycleGAN Tensorflow 2

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WGANSing

Multi-voice singing voice synthesis

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sms-tools

Sound analysis/synthesis tools for music applications

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