energy-efficient-vertical-farms
Companion repository for the paper "Energy Efficient Automatic Vertical Farms" by Delorme and Santini
https://github.com/a-jminor/solvent_screening_ionic_liquids_systems_gnn
This repository provides a code for solvent selection via prediction of infinite dilution activity coefficients (IDACs) for both neutral solvents and ILs using a single graph neural network (GNN).
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.
https://github.com/a-jminor/equipment-design-chemical-processes
Design of Chemical Process Equipment
githubprocedureslab
Code Management Guidelines: R and GitHub Starter Kit for New Team Members
am
Asset Manager is a package manager for software distributed as tarballs or binaries.
https://github.com/aalok-sathe/sanskrit_ipa
Implementation of LREC-CCURL'18 paper: a rule-based system for the transcription of Sanskrit text written using Devanagari into the International Phonetic Alphabet. Uses closest known approximate pronunciations of sounds as well as prosodic and metric rules for syllabification using the WWG algorithm for Sinhalese adapted to Sanskrit and the assignment of syllable-weight-determined stress
https://github.com/aalok-sathe/neural-nlp
[bioRxiv2020] Artificial Neural Networks Accurately Predict Language Processing in the Brain
https://github.com/aalok-sathe/class-balanced-loss-pytorch
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
https://github.com/aalok-sathe/brain-score
A framework for evaluating models on integrative brain measurements
https://github.com/aalto-electric-drives/plenary-sled-2025
Plenary talk at IEEE SLED 2025
https://github.com/aalto-electric-drives/electrolysis-power-electronics
Unite! Research School: Converter-Fed Electrolyser Systems: State of the Art
https://github.com/aalto-electric-drives/digital-control-power-conversion
PhD Course: Advanced Control in Electrical Energy Conversion (Politecnico di Torino 2017)
https://github.com/aalto-ics-kepaco/projse
Supervised variables selection by projection operators in kernel space
pmv-ads-2022-2-e1-proj-web-t2-hemolife
Plataforma web de localização de hemocentros e visualização de campanhas de doações - 2022/2 - Turma 2 - ADS/PUC-Minas./src/index.html
ai-cps
This repo supports the flexible, node-independent, Over-The-Air realization of (a) situational ANN application, (b) ANN training and validation as well as (c) ANN refinement.
https://github.com/aalto-ics-kepaco/go-ltr-prediction
Protein function prediction through latent tensor reconstruction
https://github.com/aalto-ics-kepaco/softalignf
ALIGNF+ (soft ALIGNF) python implementation.
random-array-weibull
Create an array containing pseudorandom numbers drawn from a Weibull distribution.
https://github.com/alan-turing-institute/trustchain-gui
Flutter front-end for Trustchain
researchhomeworkproblems
Homework assignments to connect basic coursework concepts to cutting-edge research
https://github.com/aalto-ics-kepaco/retention_order_prediction
Code, Data and Results of the publication: "Liquid-Chromatography Retention Order Prediction for Metabolite Identification" by Bach et al. 2018
https://github.com/aalto-ics-kepaco/onto-chem-compounds
Predicting the ontology of chemical compounds
novicevsexpert
Replication package, supplementary materials, and analysis pipeline for our FSE'22 EEG study.
https://github.com/aalto-ics-kepaco/molecular_classification
Structured output learning method for multilabel molecular activity classification problem.
https://github.com/aalto-ics-kepaco/combofm
Machine learning framework for predicting the responses of drug combinations in pre-clinical studies, such as those based on cell lines or patient-derived cells.
soilmoisture_atbd_v2
Jupyterbook for the CIMR Level-2 Soil Moisture ATBD developed in the DEVALGO project
2021-multichannel-fw
Codes for the study: Dijoux, S. and Boukal, D.S. (2021). Community structure and collapses in multichannel food webs:Role of consumer body sizes and mesohabitat productivities. Ecology Letters, 24: 1607-1618.
noise_reduction_of_ligo_data
Using simulated LIGO data this repository uses 3 very simple and quick methods to remove noise and reveal the chirps created by the simulated merger of two black holes
https://github.com/aaltoml/free-hunch
Official code for Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
https://github.com/aaltoml/desplat
DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering
glycosylationstatistics
Systematic detection of sugar moieties in COCONUT using the Sugar Removal Utility
https://github.com/aaltoml/heterophily-imp
Public codes for TMLR2025 paper: "Heterophily-informed Message Passing".
ecg_classification
Official and maintained implementation of the paper "Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in Medical Machine Learning" (ECG-DualNet) [Physiological Measurement 2022, EMBC 2023].
https://github.com/aaltoml/flatfsl
Code for "Flatness Improves Backbone Generalisation in Few-shot Classification", WACV 2025.
nyu-effimodel
Code and data for Xiao et al (2023) "Efficient models of cortical activity via local dynamic equilibria and coarse-grained interactions."
https://github.com/aaltoml/gp-mvs
Multi-View Stereo by Temporal Nonparametric Fusion
https://github.com/aaltoml/nonstationary-audio-gp
End-to-End Probabilistic Inference for Nonstationary Audio Analysis
https://github.com/aaltoml/kalman-jax
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
https://github.com/aaltoml/uncertainty-nerf-gs
Code release for the paper "Sources of Uncertainty in 3D Scene Reconstruction"
icenet-pipeline
The icenet-pipeline repository illustrates operational execution of the IceNet model
https://github.com/aaltoml/sfr
PyTorch implementation of Sparse Function-space Representation of Neural Networks
https://github.com/aaltoml/sfr-experiments
Code accompanying ICLR 2024 paper "Function-space Parameterization of Neural Networks for Sequential Learning"
k2-hamiltonian-graphs
This repository contains four programs which were created for the article "J. Goedgebeur, J. Renders, G. Wiener and C.T. Zamfirescu, K2-Hamiltonian Graphs: II, manuscript", as well as some certificates that can be used to verify some of the computer-aided proofs in this article.
https://github.com/aaltoml/gpt-2-pytorch
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
https://github.com/aaltoml/orb_slam3
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
https://github.com/aaltoml/improved-hyperparameter-learning
Codes for 'Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models' (ICML 2023)
https://github.com/aaltoml/generative-inverse-heat-dissipation
Code release for the paper Generative Modeling With Inverse Heat Dissipation
maizesnp
SNP analysis of different maize (Zea mays L.) inbred lines in comparison to B73 as a reference line