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Ciao, Daniele here! πŸ–πŸ»

My latent space has the following dimensions:

  • 🫘 "The mystery of endings and beginnings, transforms, through perspective."
  • πŸ₯· Purpose-driven
  • πŸ§ͺ Process-oriented
  • πŸš€ Growth-focused
  • 🧠 Deep Learning (BSc and MSc in CS @ Sapienza University of Rome)
  • πŸ—ΊοΈ Macroeconomics, personal finance and investing
  • 🌀️ Mindfulness and meditation

Own projects πŸ”₯

Name Description
Biscuits Experiments inspired by the paper Training BatchNorm and Only BatchNorm, ICLR 2021
CreActive Experiments on activation functions of Deep Neural Networks
GPHungarian Custom GPU-accelerated version of the Hungarian Algorithm, written in CUDA and OpenCL
Kindergarten-VQ-VAE Exploring disentanglement properties of Transformers for NLP

Projects I actively contributed to πŸš€

Name Description
AML_Homework 3D human pose estimation using Spatio-Temporal (Graph) Transformers
Big Data FC Predicting football match results using Machine Learning and Big Data
Braver Cat Exploring the power of Transfer Learning in brain and liver tumor segmentation
Cheap Clasp Assessing JPEG image encoding capabilities as alternative to Deep Learning-based models
Distillo, Ergo Sum Heterogeneous Knowledge Distillation on medical images segmentation
GeNNuS Music genre classification via Deep Neural Networks in the time and frequency domains

Exams I enjoyed the most πŸ‘¨β€πŸŽ“

Daniele Solombrino's Projects

africa-wildlife icon africa-wildlife

Interactive simulation of climate change effects on African wild fauna

biscuits icon biscuits

A set of experiments inspired by the paper "Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs" by Jonathan Frankle, David J. Schwab, Ari S. Morcos

creactive icon creactive

A set of experiments on Deep Neural Networks activation functions

dlai-2022-23 icon dlai-2022-23

Study materials for Deep Learning and Applied AI exam, Sapienza University of Rome, Prof. Emanuele RodolΓ  (A.Y. 2022/23)

fds-2022-23 icon fds-2022-23

Study materials for Fundamentals of Data Science exam, Sapienza University of Rome, Prof. Fabio Galasso (A.Y. 2022/23)

gphungarian icon gphungarian

A GPU-accelerated implementation of the Hungarian Algorithm, written in CUDA

nlp-2022-23 icon nlp-2022-23

Study materials for Natural Language Process exam, Sapienza University of Rome, Prof. Iacopo Masi and Stefano Faralli (A.Y. 2022/23)

nummethcs-2022-23 icon nummethcs-2022-23

Study materials for Numerical Methods for Computer Science exam, Sapienza University of Rome, Prof. Emanuele RodolΓ  (A.Y. 2022/23)

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