Matteo Hessel

Reinforcement learning Agent and Environment for a modified Blackjack

Hardware accelerated, batchable and differentiable optimizers in JAX.

No description provided.

JAX - A curated list of resources https://github.com/google/jax

The "Bike Sharing Demand" kaggle competition requires you to use historical usage patterns with weather data in order to forecast bike rental demand in the Capital Bikeshare program in Washington, D.C.

Supervised Multidocument Summarization using neural sentence embeddings

Experiments in neural language modelling, using a recurrent lstm network, implemented using chainer

Clustering and data visualization experiments on the iris dataset

Experiments on classification of handwritten digits

Code for kaggle competition on sentiment mining, developed with Bojan Vujatovic, Miljan Martic, and Hector Mourino-Talin

Experiments in statistical language modelling, using various smoothing techniques

SeeMI android application, support for turists visiting milan relying on the bike sharing service

Library project, support to the SeeMI android application

Library project, support to the SeeMI android application

Web Application, Ruby on Rails