mitkof6

mitkof6's Stars

• statsmodels/statsmodels

  Statsmodels: statistical modeling and econometrics in Python

  Language:Python10.3k2875.5k3.2k

• DEAP/deap

  Distributed Evolutionary Algorithms in Python

  Language:Python5.9k1925201.1k

• hylang/hy

  A dialect of Lisp that's embedded in Python

  Language:Python5.2k1181.1k372

• racket/racket

  The Racket repository

  Language:Racket4.8k1452.2k665

• vcmi/vcmi

  Open-source engine for Heroes of Might and Magic III

  Language:C++4.6k1232.1k494

• openscenegraph/OpenSceneGraph

  OpenSceneGraph git repository

  Language:C++3.3k2284181.4k

• tensorflow/agents

  TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

  Language:Python2.8k81669721

• brian-team/brian2

  Brian is a free, open source simulator for spiking neural networks.

  Language:Python95147843222

• esa/pagmo2

  A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

  Language:C++84435238162

• mpatacchiola/dissecting-reinforcement-learning

  Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

  Language:Python6155514177

• Project-Platypus/Platypus

  A Free and Open Source Python Library for Multiobjective Optimization

  Language:Python58019177152

• jMetal/jMetalPy

  A framework for single/multi-objective optimization with metaheuristics

  Language:Python53422109151

• jMetal/jMetal

  jMetal: a framework for multi-objective optimization with metaheuristics

  Language:Java52357260405

• yukezhu/tensorflow-reinforce

  Implementations of Reinforcement Learning Models in Tensorflow

  Language:Python487218136

• MilesCranmer/lagrangian_nns

  Lagrangian Neural Networks

  Language:Python47121595

• metawilm/cl-python

  An implementation of Python in Common Lisp

  Language:Common Lisp369301835

• esa/pagmo

  A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model. State of the art optimization algorithms are included. A common interface is provided to other optimization frameworks/algorithms such as NLOPT, SciPy, SNOPT, IPOPT, GSL

  Language:C++2704213486

• lmarti/evolutionary-computation-course

  Jupyter/IPython notebooks about evolutionary computation.

  Language:Jupyter Notebook25017599

• bendudson/py4cl

  Call python from Common Lisp

  Language:Common Lisp235142833

• pedropramos/PyonR

  A Python implementation for Racket

  Language:Racket149131510

• csu-hmc/GaitAnalysisToolKit

  Tools for the Cleveland State Human Motion and Control Lab

  Language:Python112169031

• csu-hmc/opty

  A library for using direct collocation in the optimization of dynamic systems.

  Language:Python951413821

• AidanRocke/AutoDiff

  Automatic Differentiation via Contour Integration

  Language:Jupyter Notebook52403

• pyCGM2/pyCGM2

  implementation of an evolved conventional gait model

  Language:Python51152523

• taesoobear/IPCDNNwalk

  Fast and Flexible Multilegged Locomotion Using Learned Centroidal Dynamics

  Language:C++38136

• modenaxe/3d-muscles

  Materials to reproduce the results of our paper about 3D muscle modelling.

  Language:MATLAB31535

• csu-hmc/perturbed-data-paper

  A paper on an elaborate gait data set.

  Language:TeX1171056

• MuscleOptimizer/MuscleOptimizer

  OpenSim plugin + Matlab toolbox to map muscles' operating range to a reference model

  Language:Java8444

• csu-hmc/optim2d

  Optimization on a muscle-driven 2D gait model

  Language:Matlab5513

• csu-hmc/gait-control-direct-id-paper

  Direct identification of the human's control scheme during walking.

  Language:Jupyter Notebook45542