victoraalves

victoraalves's Stars

• AlexanderFabisch/gmr

  Gaussian Mixture Regression

  Language:Python17249

• kevingreenman/awesome-chemical-engineering-education

  A curated list of online chemical engineering education resources

  12516

• nicolasj92/industrial-ml-datasets

  A curated list of datasets, publically available for machine learning research in the area of manufacturing

  12424

• cvxopt/cvxopt

  CVXOPT -- Python Software for Convex Optimization

  Language:C985210

• fabsig/GPBoost

  Combining tree-boosting with Gaussian process and mixed effects models

  Language:C++56546

• based-robotics/jaxadi

  Transforms your CasADi functions into batchable JAX-compatible functions. By combining the power of CasADi with the flexibility of JAX, JAXADi enables the creation of efficient code that runs smoothly on CPUs, GPUs, and TPUs.

  Language:Jupyter Notebook1143

• novonordisk-research/ProcessOptimizer

  A tool to optimize real world problems

  Language:Jupyter Notebook7315

• patrick-kidger/sympy2jax

  Turn SymPy expressions into trainable JAX expressions.

  Language:Python31913

• jkitchin/claude-light-python

  Python interface to Claude Light

  Language:Jupyter Notebook2

• arfc/osier

  Justice oriented energy system optimization framework

  Language:Python67

• DanWBR/dwsim

  DWSIM is a Steady-State and Dynamic Sequential Modular Chemical Process Simulator for Windows, Linux and macOS.

  Language:Visual Basic .NET29393

• Zymrael/awesome-neural-ode

  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

  1.3k150

• jckantor/ND-Pyomo-Cookbook

  A repository of Pyomo examples.

  Language:Jupyter Notebook348136

• bamos/thesis

  Differentiable Optimization-Based Modeling for Machine Learning

  Language:TeX31943

• Ceyron/machine-learning-and-simulation

  All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

  Language:Jupyter Notebook859177

• dowlinglab/pyomo-doe

  Workshop tutorials for Pyomo.DoE

  Language:Jupyter Notebook93

• pnnl/neuromancer

  Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

  Language:Python913120

• NicolasBoumal/manopt

  Manopt, a Matlab toolbox for optimization on manifolds

  Language:MATLAB30996

• cerlymarco/linear-tree

  A python library to build Model Trees with Linear Models at the leaves.

  Language:Jupyter Notebook35554

• CODES-group/opyrability

  Python-based Process Operability Package

  Language:Python173

• pymor/pymor

  pyMOR - Model Order Reduction with Python

  Language:Python306108

• deepmodeling/jax-fem

  Differentiable Finite Element Method with JAX

  Language:Python27443

• flet-dev/flet

  Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.

  Language:Python11.3k436

• pymanopt/pymanopt

  Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation

  Language:Python759150

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook38.5k4.1k

• jkitchin/s24-06642

  Spring 2024 - Data Science and Machine Learning in Chemical Engineering

  Language:Jupyter Notebook10

• jckantor/CBE20255

  Introduction to Chemical Engineering Analysis

  Language:Jupyter Notebook17379

• jckantor/CBE30338

  Chemical Process Control

  Language:Jupyter Notebook268140

• patrick-kidger/optimistix

  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/

  Language:Python32414

• n2cholas/awesome-jax

  JAX - A curated list of resources https://github.com/google/jax

  1.5k130