GitHub
publishedcodes
This repository includes the algorithms from my published or close to be published research projects.
org.inria.sacha.automaticRepair
Automatic program repair for Java with generate-and-validate techniques :v::v:: jGenProg (2014) - jMutRepair (2016) - jKali (2016) - DeepRepair (2017) - Cardumen (2018) - 3sfix (2018)
sir-analysis-tools
This repository contains a series of analysis tools for studying the bulk and turbulent properties of stream interaction regions in solar wind data at 1 au, as well as implications for galactic cosmic ray transport, using a superposed epoch approach.
paracrawl-context
Extracting parallel data with original document context from raw ParaCrawl data
model-guidance
Code for the paper: Studying How to Efficiently and Effectively Guide Models with Explanations. ICCV 2023.
curvefittingpython
A python code for curve fitting of material properties depending on temperature.
hf-trim
Reduce the size of pretrained Hugging Face models via vocabulary trimming.
phylocto_nmnh
A pipeline created as part of my internship at the Smithsonian NMNH
vertecs-ccb
The VERTECS CCB, is an open-source payload interface board leveraging Commercial Off-The-Shelf (COTS) components with a Raspberry Pi Compute Module 4 at its core. Originally developed for the VERTECS 6U Astronomical Nanosatellite, the board has been opened-sourced and made available for use in future nanosatellite projects.
gsta
GSTA: Gated Spatial-Temporal Attention Approach for Travel Time Prediction
seca
Global Interpretation of Image Classification Models via SEmantic Feature Analysis (SEFA)
cbmpy-metadraft
CBMPy Metadraft: a flexible and extensible genome-scale model reconstruction tool
ldacs_mcsotdma
Part of the LDACS MCSOTDMA Simulator, implementing the MCSOTDMA MAC protocol.
ldacs_tracebased_channel_model
Part of the LDACS MCSOTDMA Simulator, implementing a trace-file-based channel model.
grrproc
This repo includes all the materials of the Graph R process (GrRproc) project.
parsec
PaRSEC is a generic framework for architecture aware scheduling and management of micro-tasks on distributed, GPU accelerated, many-core heterogeneous architectures. PaRSEC assigns computation threads to the cores, GPU accelerators, overlaps communications and computations and uses a dynamic, fully-distributed scheduler based on architectural features such as NUMA nodes and algorithmic features such as data reuse.
seismic-inversion
Seismic inversion using a neural network regulariser implemented as an ExternalOperator in Firedrake
energy-efficient-vertical-farms
Companion repository for the paper "Energy Efficient Automatic Vertical Farms" by Delorme and Santini
brcasurv
Age-adjusted survival associations of gene signatures in TCGA/METABRIC/SCANB
hmpnet
论文《HMPNet：A Feature Aggregation Architecture for Maritime Object Detection from a Shipborne Perspective》的代码
ferramentas_scielo_v2
Esse repositório é parte dos projetos desenvolvidos pelos membros do LABHDUFBA e tem como objetivo oferecer ferramentas de raspagem, organização e análise de artigos ciêntíficos publicados na plataforma Scielo.br.
pion
PION (PhotoIonization of Nebulae) is a C++ computational fluid-dynamics package for astrophysics, including MHD, radiative transfer, chemical kinetics and postprocessing routines. It is used mainly for modelling nebulae around massive stars.
githubprocedureslab
Code Management Guidelines: R and GitHub Starter Kit for New Team Members
mapper-pipeline
Identifying homogeneous subgroups of patients and important features: a topological machine learning approach
pollcord
A bot designed for making flexible and enriched polls on your Discord channel!
gazescrnn
Official implementation for 'GazeSCRNN: Event-based Near-eye Gaze Tracking using a Spiking Neural Network'
colosseum-scope
Source code for the paper L. Bonati, S. D'Oro, S. Basagni, and T. Melodia, "SCOPE: An Open and Softwarized Prototyping Platform for NextG Systems," in Proceedings of ACM MobiSys, June 2021.
fea-final-project
This repository is for "Finding an Equation for Max Stress on a Plate with a Hole."
doi2cff
Generate a CFF file using the metadata from a software release on Zenodo.
olink
Analysis of OLINK proteomic data to identify proteins that may be associated with brain-derived extracellular vesicles.
data-reduction-pipeline
A data reduction pipeline for reducing datasets from the 1.8-m telescope at Mt. John Observatory.
peoplesun_wtp
Workpackage of PeopleSun's project researching on people's willingness to pay
giwaxsim
X-ray scattering simulator based on 3D fourier transform to accurately capture effects from paracrystallinity and orientational disorder. Inputs are .xyz or .pdb files (usually snapshots from molecular dynamics)
daschiiify
Generating IIIF Presentation API 3.0 resources for DaSCH with the iiif-prezi3 library
adversarial-patch-training
Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.
dexpoint-release
DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation, CoRL 2022
TrainRuns
TrainRun.jl will take a user-defined train and a path as an input for a train run calculation. It can calculate the train run as a time-efficient or energy-efficient operation mode. The results can then be used within the Julia environment.
pmv-ads-2024-1-e5-proj-empext-t2-hysteria-studio
pmv-ads-2024-1-e5-proj-empext-t2-hysteria-studio created by GitHub Classroom
vaccinestockmanagementwithmdps.jl
Julia code to approximate the MDP solution to our reinforced learning model
tgcsm-circuit
The original containment framework for recursion-stable cognition, collapse-resistant logic, and LLM self-reflection.
learning-representations-causal-inference
Code supplement for "Neuroevolutionary representations for learning heterogeneous treatment effects"
gradientrelloc
A set of programs for calculating the relative location of seismic events using differential time measurements.
mapscape_generator
Generation of interactive mapscape plots from NDP clustering and phylogenetic trees
bioflax
bioflax provides a JAX implementation of biologically plausible learning algorithms
