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LNCC
- Petrópolis/RJ, Brazil
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20:27
(UTC -03:00) - https://orcid.org/0000-0002-3107-3259
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C++
Data Processing
Tools to handle, manage, and process dataData Visualization
Convenient tools for EDADeploy and Visualization
Feature Engineering
Finite Elements
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Gaussian Process
Geochemistry
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Physics-Informed ML
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Starred repositories
PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.
The implementation exercise for the final year finite element course given in the Maths Department of Imperial College London
Computational brainphatics - simulating the brain's waterscape
Reproducible Research in Ecology, Evolution, Behaviour, and Environmental Studies
Datasets and models
Improved Solubility Predictions in scCO2 Using Thermodynamics-Informed Machine Learning Models
Course material for "Scientific Software Development"
Learning materials for scientific software development
Learning in infinite dimension with neural operators.
Get your documents ready for gen AI
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sa…
Python API for geoh5, an open file format for geoscientific data.
Free and open source software for mathematical and engineering calculations.
An open source deep research clone. AI Agent that reasons large amounts of web data extracted with Firecrawl
The IUPAC WorldFAIR Cookbook for FAIR chemical data
Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.
A high-performance LLM inference API and Chat UI that integrates DeepSeek R1's CoT reasoning traces with Anthropic Claude models.
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
gPINN: Gradient-enhanced physics-informed neural networks
Distance correlation and related E-statistics in Python
Gaussian Process Regression Interactive Javascript Demo
PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., C…
Synthetic datasets for geoscience (geo)statistical modeling