ribesstefano

Mapping-Multiple-LSTM-Models-on-FPGAs

Includes the SVD-based approximation algorithms for compressing deep learning models and the FPGA accelerators exploiting such approximation mechanism, as described in the paper Mapping multiple LSTM models on FPGAs.

GPU-accelerated-Finite-Element-Method-using-Python-and-CUDA

Includes the design and implementation in Python and CUDA of the Finite Element Method algorithm to be run on an Nvidia GPU.

PROTAC-Degradation-Predictor

Predicting PROTAC protein degradation activity via machine learning.

ml-for-protacs

Includes the master thesis work "Machine Learning for predicting targeted protein degradation" done at AstraZeneca, Gothenburg.

chalmers_ssy098_image_analysis

Includes the work done within the course Image Analysis, which covers the following topics: SIFT Descriptor, Learning and Convolutional Neural Networks, Image Registration, Triangulation and Digit Recognition in Scale Space.

chalmers_dat340_applied_machine_learning

chalmers_dat410_design_of_ai_systems

chalmers_dit065_computational_techniques_for_large-scale_data

chalmers_dit743_computational_methods_in_bioinformatics

Assignments and exercises within the field of bioinformatics.

chalmers_tma881_high_performance_computing

GPU_computing_tracks_course

Code for "GPU-accelerated Computational Methods using Python and CUDA" at Chalmers

pongbot

briscola-gym

A gym environment modeling the Italian game of briscola.

chalmers_dat450_ml_for_nlp

google-maps-scraper

Laokoon-ML

Includes the code for detecting and classifying hardware trojans in RISC-V cores via machine learning models.

ml4justice-feature-predictor

Predicting binary features from legal ruling texts.

ribesstefano.github.io

Personal webpage.

state_of_charge_estimator

trl

Train transformer language models with reinforcement learning.

waterpi