Felipe Ferreira de Freitas's repositories
Julia_learning_repo
Repo for my studies in Julia
Fortran_learning_repo
Repository for my studies in Fortran
OpenCV_studies
Repo for my studies in OpenCV-Python
Data_structures_Python
Repository for my studies in Python
X-ray-and-ML
ML models to identify comum pulmonary disease in X-ray images, to be used in mobile phones.
PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
2nd-Workshop-on-Compact-Objects-Gravitational-Waves-and-Deep-Learning
The Workshop on Compact Objects, Gravitational Waves and Deep Learning, intends to bring together experimental and theoretical Astrophysicists, Relativists and Cosmologists in a close collaboration with High Energy Particle Physicists to explore the Universe from its most fundamental particle constituents, to the events that happen at a Cosmological scale. The workshop is particularly focused in providing young Master and PhD researchers state of the art knowledge on Astrophysics, Cosmology and Particle Physics, with particularly useful Hands-On sessions, using state of the art Machine Learning methods, to explore signals of new physics that can span the boundary between Particle Physics performed at Colliders, Relativistic Astrophysics, Strong Gravity and Cosmology.
COST-Avanced-school-on-the-physics-of-dark-matter
The nature of Dark Matter phenomenon remains one of the biggest unsolved problem of contemporary fundamental physics. Since early astrophysical observations of gravitational effects of Dark Matter, many theoretical approaches that would elaborate on its possible origins, properties, cosmological evolution and astrophysical implications have been developed. Many experimental searches for particle physics candidates of Dark Matter in collider measurements and in astrophysics have been deployed greatly cratering into the parameter space of the most popular models. Several news ways of probing the yet hidden physics of Dark Sectors and Dark Matter are being established.
CohortProject_2021
Open collaboration of the Quantum Bootcamp 2021
probable-gravitational-adventure
Image-GPT model based with a dash of quantum computing to classify binary black hole merges
Deep-Ensemble-Anomaly-Detection
Deep Ensemble Anomaly Detection: LHCOlympics codes and notebooks
Compact-Objects-Gravitational-Waves-and-Deep-Learning-
Main repo for codes and lectures of the Workshop on Compact Objects, Gravitational Waves and Deep Learning,
covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
notebooks
RAPIDS Sample Notebooks
IBS-Particle-Physics-in-Computing-Frontier
Repository for the ML lectures and presentation
SVC_lecture_repo
Support Vector Machine repository for lecutre 1
graph_nets
Build Graph Nets in Tensorflow
Exploring-SMEFT-in-VH-with-Machine-Learning
code repository for the paper https://arxiv.org/abs/1902.05803
MSCH-Naturalness-Sum-Rules
UFO Model files for the MSCH model analyzed in https://arxiv.org/pdf/1811.01961.pdf
Data-Incubator-project
plots and scripts for my project in Data Incubator.
Images-Classifiers-Fun
collection of things I spend my spare time
Event_level_ML
study on the delphes event level for image classification and auto-encoders
Python_algorithms
Algorithms studies on data structures
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
dl-imperial-maths
Code and assignment repository for the Imperial College Mathematics department Deep Learning course