Pinned Repositories
chalmers_dat340_applied_machine_learning
chalmers_dat410_design_of_ai_systems
chalmers_dit743_computational_methods_in_bioinformatics
Assignments and exercises within the field of bioinformatics.
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_tma881_high_performance_computing
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.
GPU_computing_tracks_course
Code for "GPU-accelerated Computational Methods using Python and CUDA" at Chalmers
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.
ml-for-protacs
Includes the master thesis work "Machine Learning for predicting targeted protein degradation" done at AstraZeneca, Gothenburg.
PROTAC-Degradation-Predictor
Predicting PROTAC protein degradation activity via machine learning.
ribesstefano's Repositories
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.
ribesstefano/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.
ribesstefano/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.
ribesstefano/GPU_computing_tracks_course
Code for "GPU-accelerated Computational Methods using Python and CUDA" at Chalmers
ribesstefano/ml-for-protacs
Includes the master thesis work "Machine Learning for predicting targeted protein degradation" done at AstraZeneca, Gothenburg.
ribesstefano/PROTAC-Degradation-Predictor
Predicting PROTAC protein degradation activity via machine learning.
ribesstefano/chalmers_dat340_applied_machine_learning
ribesstefano/chalmers_dat410_design_of_ai_systems
ribesstefano/chalmers_dit065_computational_techniques_for_large-scale_data
ribesstefano/chalmers_dit743_computational_methods_in_bioinformatics
Assignments and exercises within the field of bioinformatics.
ribesstefano/chalmers_tma881_high_performance_computing
ribesstefano/pongbot
ribesstefano/briscola-gym
A gym environment modeling the Italian game of briscola.
ribesstefano/chalmers_dat450_ml_for_nlp
ribesstefano/Laokoon-ML
Includes the code for detecting and classifying hardware trojans in RISC-V cores via machine learning models.
ribesstefano/ribesstefano.github.io
Personal webpage.
ribesstefano/state_of_charge_estimator
ribesstefano/trl
Train transformer language models with reinforcement learning.
ribesstefano/waterpi