Pinned Repositories
excite
EXploring Collaboration in Tracked Environments
ffnet-single-hidden-layer-hyper-parameterization
Python implementation that explores how different parameters impact a single hidden layer of a feed-forward neural network using gradient descent
FFNET-Two-Dimensional-Light-Scattering
Python implementation of an FFT neural network to predict the size of small particles based on their two-dimensional light scattering patterns.
force-well-challenge
A not-so-smart approach to attack https://xeek.ai/challenges/force-well-logs
learning-with-errors-parameters
Some experiments to empirically analyze how the parameters of LWE impact the correctness of the algorithm on a single bit.
MNIST-hyper-parameterization
A naive sklearn-driven script to learn the best parameters for the MNIST database
naive-bayes-classifier
A simple implementation of Tom Mitchell's Learn_Naïve_Bayes_Text and Classify_Naïve_Bayes_Text routines in C
permaflow
Video conferencing using WebRTC with gestures and picture sharing
sovrin-schema-matching
Matching Metadata on Blockchain for Self-Sovereign Identity
thyroid-hyper-parameterization
A sklearn-driven script to learn the best parameters for MLP to classify a thyroid dataset
fredericoschardong's Repositories
fredericoschardong/FFNET-Two-Dimensional-Light-Scattering
Python implementation of an FFT neural network to predict the size of small particles based on their two-dimensional light scattering patterns.
fredericoschardong/learning-with-errors-parameters
Some experiments to empirically analyze how the parameters of LWE impact the correctness of the algorithm on a single bit.
fredericoschardong/excite
EXploring Collaboration in Tracked Environments
fredericoschardong/force-well-challenge
A not-so-smart approach to attack https://xeek.ai/challenges/force-well-logs
fredericoschardong/naive-bayes-classifier
A simple implementation of Tom Mitchell's Learn_Naïve_Bayes_Text and Classify_Naïve_Bayes_Text routines in C
fredericoschardong/permaflow
Video conferencing using WebRTC with gestures and picture sharing
fredericoschardong/post-quantum-oidc-oauth2
A post-quantum implementation of OpenID Connect and OAuth 2.0, from TLS to JWT.
fredericoschardong/RBFNN
A (simple) radial base function neural network (RBFNN) for sklearn
fredericoschardong/sovrin-schema-matching
Matching Metadata on Blockchain for Self-Sovereign Identity
fredericoschardong/ubuntu-touch-home-assistant
Running Home Assistant on Ubuntu Touch
fredericoschardong/ffnet-single-hidden-layer-hyper-parameterization
Python implementation that explores how different parameters impact a single hidden layer of a feed-forward neural network using gradient descent
fredericoschardong/MNIST-hyper-parameterization
A naive sklearn-driven script to learn the best parameters for the MNIST database
fredericoschardong/thyroid-hyper-parameterization
A sklearn-driven script to learn the best parameters for MLP to classify a thyroid dataset
fredericoschardong/Duo-Portal
2D collaborative version of the Portal game
fredericoschardong/js-chart-comparison
A simple rails project to compare popular chart libraries. One can also export any of the charts to a png.
fredericoschardong/k-means-and-EM
A simple implementation of k-means and EM algorithms running on a static dataset.
fredericoschardong/karma-oojspec
A tentative to integrate karma with oojspec test suite
fredericoschardong/oojspec
Object-oriented client-side (JavaScript or CoffeeScript) testing
fredericoschardong/openid-connect-provider-debugger
A docker image to test OpenID Connect Providers (OP) using a simple Relying Party (RP).
fredericoschardong/post-quantum-pyjwkest
(post-quantum) Implementation of JWT, JWS, JWE and JWK
fredericoschardong/post-quantum-pyoidc
A complete and post-quantum OpenID Connect implementation in Python
fredericoschardong/programming-exercise-1-linear-regression-university-of-stanford
Python implementation of "Programming Exercise 1: Linear Regression" from https://www.coursera.org/learn/machine-learning
fredericoschardong/programming-exercise-2-logistic-regression-university-of-stanford
Python implementation of "Programming Exercise 2: Logistic Regression" from https://www.coursera.org/learn/machine-learning
fredericoschardong/q-learning
A *simple* implementation of q-learning
fredericoschardong/web-mobile-social-network-for-art-therapy