PabloVD
PhD in Physics | Cosmologist | Deep Learning Scientist at @carla-simulator (Computer Vision Center - Universitat Autònoma de Barcelona)
CVC/UABValència, Spain
PabloVD's Stars
tqdm/tqdm
:zap: A Fast, Extensible Progress Bar for Python and CLI
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
marceloprates/prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
prakhar1989/docker-curriculum
:dolphin: A comprehensive tutorial on getting started with Docker!
chrieke/prettymapp
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
isl-org/Open3D-ML
An extension of Open3D to address 3D Machine Learning tasks
carla-simulator/imitation-learning
Repository to store conditional imitation learning based AI that runs on CARLA.
thomasfermi/Algorithms-for-Automated-Driving
Each chapter of this (mini-)book guides you in programming one important software component for automated driving.
isl-org/DeepLagrangianFluids
Code repository for "Lagrangian Fluid Simulation with Continuous Convolutions", ICLR 2020.
lxxue/FRNN
Fixed Radius Nearest Neighbor Search on GPU
shaunlebron/visualizing-projections
interactive visualization of projections
YunzhuLi/PyFleX
Customized Python APIs for NVIDIA FleX
alberto-mate/CARLA-SB3-RL-Training-Environment
🚗 This repository offers a ready-to-use training and evaluation environment for conducting various experiments using Deep Reinforcement Learning (DRL) in the CARLA simulator with the help of Stable Baselines 3 library.
franciscovillaescusa/Pylians3
Libraries to analyze numerical simulations (python3)
shaunlebron/bl1nd-ld28
1D game for Ludum Dare 28
DavidMetcalfe/Google-Maps-Location-History-Parser
Parse the extracted data from Google Maps' Location History into a list of unique lat/long coordinates.
stepankonev/MotionCNN-Waymo-Open-Motion-Dataset
Implementation of "MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving" for Waymo Open Motion Dataset
sagieppel/Train-Semantic-Segmentation-Net-with-Pytorch-In-50-Lines-Of-Code
Train neural network for semantic segmentation (deep lab V3) with pytorch in less then 50 lines of code
PabloVD/CosmoGraphNet
Graph Neural Networks to predict the cosmological parameters or the galaxy power spectrum from galaxy catalogs.
stefanmarinus/amiqs
Calculates the baryon asymmetry generated via right handed neutrino oscillations. Code used in https://arxiv.org/abs/2207.01651
stefanmarinus/CLASS_neutrinophilic
CLASS solver incorporating neutrino interactions with eV scale bosons
natalidesanti/pytorch_and_GNNs
This repo contains the material for the tutorial on pytorch and graph neural networks (GNNs) that I am giving for the Artificial Intelligence applied to Astronomy (AIA), at USP
MartinezAgullo/Root_with_Python
Scripts for data analysis using ROOT interfaced with Python
PabloVD/CNNDiagram
Processing script to generate neural network diagrams.
PabloVD/HAYASHI
Python library for 21 cm forest computations.
PabloVD/NeuralCellularAutomata
Implementation of cellular automata as simple Convolutional Neural Networks.
vhaasteren/scipydepr
Deprecated functions from scipy.special for those of us who need them
PabloVD/ElementaryCellularAutomata
Elementary one-dimensional cellular automata
PabloVD/FractalUniverses
Simple scripts to generate pictures of hierarchical fractal and multifractal universes.