renatomatz

renatomatz's Stars

• OpenBMB/ChatDev

  Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

  Language:Shell25.7k3122643.2k

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python7.3k745291.1k

• liquidctl/liquidctl

  Cross-platform CLI and Python drivers for AIO liquid coolers and other devices

  Language:Python2.2k42492224

• neuralmagic/sparseml

  Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

  Language:Python2.1k49207148

• invictus717/MetaTransformer

  Meta-Transformer for Unified Multimodal Learning

  Language:Python1.5k2268115

• timholy/ProgressMeter.jl

  Progress meter for long-running computations

  Language:Julia7061014391

• iMoonLab/DeepHypergraph

  A pytorch library for graph and hypergraph computation.

  Language:Python674104864

• MilesCranmer/SymbolicRegression.jl

  Distributed High-Performance Symbolic Regression in Julia

  Language:Julia6471613388

• Jutho/TensorOperations.jl

  Julia package for tensor contractions and related operations

  Language:Julia4842011757

• KristofferC/NearestNeighbors.jl

  High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.

  Language:Julia426159566

• timholy/ProfileView.jl

  Visualization of Julia profiling data

  Language:Julia357912439

• Quantco/glum

  High performance Python GLMs with all the features!

  Language:Python3131632325

• JuliaFolds/FLoops.jl

  Fast sequential, threaded, and distributed for-loops for Julia—fold for humans™

  Language:Julia3095225

• libprima/prima

  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., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.

  Language:Fortran30838443

• timholy/AdvancedScientificComputing

  A short course on Julia and open-source software development

  Language:Jupyter Notebook30212038

• matthieugomez/EconPDEs.jl

  Solve non-linear HJB equations.

  Language:Julia124142341

• jump-dev/SumOfSquares.jl

  Sum of Squares Programming for Julia

  Language:Julia1181510524

• DynareJulia/Dynare.jl

  A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.

  Language:Julia9692921

• nbren12/call_py_fort

  Call python from fortran

  Language:Fortran81111722

• hessjacob/Quantitative-Macro-Models

  A collection of macroeconomic models with heterogenous agents written in python and matlab by me.

  Language:Python792139

• ClimateMARGO/ClimateMARGO.jl

  Julia implementation of MARGO, an idealized climate-economic modelling framework for Optimizing trade-offs between emissions Mitigation, Adaptation, carbon dioxide Removal, and solar Geoengineering.

  Language:Julia6872813

• StructuralEquationModels/StructuralEquationModels.jl

  A fast and flexible Structural Equation Modelling Framework

  Language:Julia4521356

• PTsolvers/gpu-workshop-JuliaCon23

  Differentiable modelling on (multi)-GPUs workshop at JuliaCon23

  Language:Julia41348

• ThGaskin/NeuralABM

  Neural parameter calibration for multi-agent models. Uses neural networks to estimate marginal densities on parameters and networks

  Language:Python2921013

• ColCarroll/couplings

  Unbiased MCMC with couplings

  Language:Jupyter Notebook19401

• SciML/NeuralOperators.jl

  DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

  Language:Julia1312444

• DeepSurrogate/OptionPricing

  Language:Jupyter Notebook121010

• JeppeDruedahl/G2EGM

  Code for "A General Endogenous Grid Method for Multi-Dimensional Models with Non-Convexities and Constraints"

  Language:C++10115

• Renruize12306/VLLimitOrderBook.jl

  Language:Julia5102

• JuliaPOMDP/MultiAgentPOMDPs.jl

  Language:Julia41131