Alessandro Padrin 's Projects
Curated Collection of BCI resources
Uplift modeling and causal inference with machine learning algorithms
A set of demo applications that make use of google speech, nlp and vision apis based in angular2
COCO API - Dataset @ http://cocodataset.org/
Using deep reinforcement learning to navigate a 3D environment
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Gazebo simulation of Utah Robotic Mining Project robot for NASA Robotic Mining Competition from 2016
Fullstack Web Developer Nanodegree from Udacity
A log analysis toolkit for automated anomaly detection [ISSRE'16]
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
NLP Projects from Natural Language Processing Nanodegree
A text analysis application for performing common NLP tasks through a web dashboard interface and an API
A profitable cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
Sentiment Analysis application created with Python and Dash, hosted at socialsentiment.net
Gazebo/ROS packages for underwater robotics simulation