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Nicolas Dutly's Projects

cil21 icon cil21

Project Repository for our Kaggle team (CIL21)

craft-pytorch icon craft-pytorch

Dockerized version of the Character Region Awareness for Text Detection (CRAFT)

deepdiva-bscthesisexperiments icon deepdiva-bscthesisexperiments

Python Framework for Reproducible Deep Learning Experiments. Includes modified runners to work for the pixelwise classification task of the Bsc Thesis

ensemble-pytorch icon ensemble-pytorch

A unified ensemble framework for PyTorch to easily improve the performance and robustness of your deep learning model.

erlpso icon erlpso

A Distributed particle swarm optimization (PSO) implementation in erlang

geneticalgorithms icon geneticalgorithms

A collection of projects that try to visualize genetic algorithms (using processing 3). First projects will be based on/inspired by the example found in the book "The nature of Code"

icdar-2019-sroie icon icdar-2019-sroie

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

opt_ml_project icon opt_ml_project

Investigating the performance benefits of zeroth order methods in the context of adversarial training

printed-hw-segmentation icon printed-hw-segmentation

Printed and handwritten text segmentation using fully convolutional networks and CRF post-processing

rgb_nn icon rgb_nn

An object-oriented implementation of a neural network in Java, used to improve color detection of E-puck robots

speech2text icon speech2text

transcibe speech to text, auto-detecting the input language

tensorflow-lite-sgx icon tensorflow-lite-sgx

A port of the tensorflow-lite for microcontrollers framework to Intel's SGX Framework. Designed to simplify research of privacy preserving machine learning in the context of trusted execution environments (TEEs).

texttract icon texttract

Dockerized version of the popular textract tool

tf-trusted icon tf-trusted

tf-trusted allows you to run TensorFlow models in secure enclaves

visualpathfinding icon visualpathfinding

Visual representations of various pathfinding algorithms using processing 3

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