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advanced_machine_learning_course

HWs of the Advanced Machine Learning course

ai_vampire_vs_monters

This is a project of the Foundations of Artificial Intelligence course of the MSc in AI of Centralesupelec.

causaltree

Working repository for Causal Tree and extensions

channel-coding-project

LDPC Code Implementation of the G.hn ITU G9960 standard proposed by the ITU-T. Jan 2017 – Apr 2017

cinco_game

Cinco game.

colliderapp

Visualization Collider Effect: ShinyApp

crlmaze

Continual Reinforcement Learning in 3D Non-stationary Environments

deep_learning_demos

Some deep learning demos.

dom_adapt

Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

experimentdata

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

source-coding-project

Algorithms for encoding and decoding CD-quality audio signals by means of DPCM technique and Golomb procedure.

thylor

time_series

Some works where I used time series.

vsrl-framework

The Verifiably Safe Reinforcement Learning Framework