Matias Valdenegro's repositories
keras-uncertainty
Utilities to perform Uncertainty Quantification on Keras Models
marine-debris-fls-datasets
Marine Debris Datasets captured with a Forward-Looking Sonar in a water tank and turntable
pretrained-models-sonar-images
Pre-trained Models for Sonar Images releases and code.
UncertaintyML-course-ESSAI-labs
Lab material/code for the Uncertainty Quantification in Machine Learning Course @ ESSAI 2023, using Keras-Uncertainty and Pyro.
auv-perception
Sonar Perception library for AUVs, mostly code I wrote during my PhD
paper-subensembles-image-classification
Code for the paper "Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification"
bayesian-object-localization
Implementation of simple object localization with model uncertainty on the pets dataset
benchmark-OOD-RL
Benchmark for Out of DIstribution Detection in Deep Reinforcement Learning
phd-thesis
My PhD Thesis titled "Deep Neural Networks for Marine Debris Detection in Sonar Images"
object-detection-sonar-pretrained-complexity
Code for our future paper about pre-trained models and sample complexity for Object Detection in Sonar Images
wikinotebook
A small notebook-like personal wiki application made with Qt5 and PySide2.
dnn-builder
A Keras-based Framework to easily build modern neural networks from building blocks
coremltools
Converter tools for Core ML.
keras-applications
Reference implementations of popular deep learning models.
keras-preprocessing
Utilities for working with image data, text data, and sequence data.
keras-snippets
Keras code snippets to do useful and repetitive tasks
mvaldenegro
My first repo :)
mvaldenegro.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
speed-uncertainty-benchmark
A comparison of uncertainty vs computation time trade-offs in image classification
survey-uncertainty-ml
Annotated bibliography about Uncertainty in Machine Learning and Applications
talk-uncertainty-pydata-global-2020
Additional materials for the talk "Uncertainty Quantification in Neural Networks with Keras" at PyData Global 2020
tensorflow
Computation using data flow graphs for scalable machine learning