GitHub
discretized-optimized-map-projection
Software to generate optimized world projections
ndn-traffic-replay-ndnsim
NDN traffic traces replay - Replay packet traces with ndnSIM
tno.mpc.mpyc.matrix-inverse
TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Matrix Inverse
chlorophyll-fluorometer
Low-cost fluorometer for chlorophyll a concentration measurements. Application to phytoplancton fluorescence measurements.
threelevelatom
Research Project for 2023-2. Under supervision of Dr. Carla Hermann.
female_migration_sna
SNA analysis of the female migration between Crete and Miletos during the Hellenistic period based on epigraphy
cv32e40p
CV32E40P is an in-order 4-stage RISC-V RV32IMFCXpulp CPU based on RI5CY from PULP-Platform
cvode_wrap
A wrapper around the cvode(S) ODE solver from sundials. Mirror of https://gitlab.inria.fr/InBio/Public/cvode-rust-wrap
dynamit_1d
1D simulation of dynamic magnetosphere-ionosphere-thermosphere coupling
pysspredict
pySSpredict demo on nanoHUB: https://nanohub.org/tools/pysspredict
stnmf
A fast and versatile implementation of spike-triggered non-negative matrix factorization (STNMF) based on accelerated/fast HALS algorithms
array-base-broadcasted-quaternary3d
Apply a quaternary callback to elements in four broadcasted input arrays and assign results to elements in a three-dimensional nested output array.
white_dwarf_agwb
Code to estimate the Gravitational Wave Background sourced by extragalactic coalescing White Dwarf binaries.
criticality-of-turing-wave
Code to compute the criticality of a Turing-wave bifurcation
dl-for-emo-tts
:computer: :robot: A summary on our attempts at using Deep Learning approaches for Emotional Text to Speech :speaker:
semantic_kitti_stats
:chart_with_downwards_trend: Get some nice plots with statistics about the Semantic KITTI dataset
asperasragetter
AsperaSRAgetter provides an easy way to download sequencing data from ENA by using Aspera.
sac2000
SAC2000 (Seismic Analysis Code for the third millennium) is a general purpose interactive program designed for the study of sequential signals, especially time-series data.
komanawa-basgra-nz-py
BASGRA or The BASic GRAssland model is a simple pasture growth model. This version, BASGRA_NZ has been specifically modified to model perennial ryegrass in New Zealand. This adaptation creates a python implementation.
marlin
MARLIN: a Co-design Methodology for Approximate ReconfigurabLe Inference of Neural Networks at the Edge
berteam
Transformer architecture designed to learn optimal team choice in multi-agent adversarial games
fedobp
FedOBP: Federated Optimal Brain Personalization with Few Personalized Parameters
aaic2024-neuroimaging-workshop
Getting Started With Neuroimaging Analysis Workshop for AAIC 2024
2dradiation
2D GRLMBRT code developed in the context of my PhD thesis, "General Relativistic Lattice Boltzmann Method for Radiation Transport", and my paper of the same title.
carpentries-workbench-example
An example of using the Carpentries workbench lesson plan
loco-moto
Pilot e-learning tool for Treating Locomotor disease: developed for blended learning.
magms
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation
unsupervised-learning-of-aging-principles
Final project for Skoltech Computational Biology of Aging 2023 course.
delay-and-sum.com
Simulate the spatial impulse response (SIR) of a wave in your browser!
boa-framework
Bayesian Optimization for Anything: A high-level Bayesian optimization framework and model wrapping toolkit. It provides an easy-to-use interface between models and the python libraries Ax and BoTorch.
template-tiaw
Template para a disciplina de Trabalho Interdisciplinar: Aplicações Web - 1º período
pediatric_wrist_abnormality_detection-end-to-end-implementation
This repository contains the official code for the paper "Enhancing wrist abnormality detection with YOLO: Analysis of state-of-the-art single-stage detection models". We achieved SOTA fracture detection results on GRAZPEDWRI-DX dataset. Also contains code for end-to-end application.
skself
Explore methods to reduce the amount of effort required for industries to implement machine learning methods either by reducing the effort required to curate and annotate their datasets or by exploring out-of-the-box solutions like multimodal large language models or pretrained embeddings