DiegoAE

DiegoAE's Stars

• facontidavide/Bonxai

  Fast, hierarchical, sparse Voxel Grid

  Language:C++69464

• awslabs/fortuna

  A Library for Uncertainty Quantification.

  Language:Python89346

• awslabs/Renate

  Library for automatic retraining and continual learning

  Language:Python2826

• m4nh/skimap_ros

  Ros implementation of Skimap

  Language:C++269101

• wkentaro/octomap-python

  Python binding of the OctoMap library.

  Language:Cython8628

• OctoMap/octomap

  An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.

  Language:C++2k663

• AtsushiSakai/PythonRobotics

  Python sample codes for robotics algorithms.

  Language:Python24k6.6k

• mavlink/MAVSDK

  API and library for MAVLink compatible systems written in C++17

  Language:C++645514

• utiasSTARS/pykitti

  Python tools for working with KITTI data.

  Language:Python1.2k242

• conda-forge/casadi-feedstock

  A conda-smithy repository for casadi.

  Language:Shell812

• probml/pml2-book

  Probabilistic Machine Learning: Advanced Topics

  1.4k121

• utiasDSL/safe-control-gym

  PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

  Language:Python653133

• Shunichi09/PythonLinearNonlinearControl

  PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

  Language:Python885181

• fmarotta/kaobook

  A LaTeX class for books, reports or theses based on https://github.com/kenohori/thesis and https://github.com/Tufte-LaTeX/tufte-latex.

  Language:TeX892188

• bayesoptbook/bayesoptbook.github.io

  Companion webpage for the book "Bayesian Optimization" by Roman Garnett

  Language:HTML89246

• casadi/casadi

  CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

  Language:C++1.8k393

• helgeanl/GP-MPC

  MPC with Gaussian Process

  Language:Python20463

• locuslab/mpc.pytorch

  A fast and differentiable model predictive control (MPC) solver for PyTorch.

  Language:Python903149

• locuslab/differentiable-mpc

  Language:Python25652

• EEA-sensors/Bayesian-Filtering-and-Smoothing

  Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson

  Language:Jupyter Notebook6617

• retorquere/zotero-better-bibtex

  Make Zotero effective for us LaTeX holdouts

  Language:TypeScript5.5k295

• secondmind-labs/GPflux

  Deep GPs built on top of TensorFlow/Keras and GPflow

  Language:Python12124

• aleximmer/FWDL

  Frank Wolfe for Deep Learning

  Language:Python51

• ZIB-IOL/StochasticFrankWolfe

  Implementation of the Stochastic Frank Wolfe algorithm in TensorFlow and Pytorch.

  Language:Python107

• StanfordASL/UP

  Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling

  Language:Jupyter Notebook102

• j-wilson/GPflowSampling

  Code for efficiently sampling functions from GP(flow) posteriors

  Language:Python6716

• FalkonML/falkon

  Large-scale, multi-GPU capable, kernel solver

  Language:Python18322

• sebasutp/trajectory_forcasting

  A method for time series forecasting using a deep conditional generative model based in variational auto-encoders

  Language:Python5015

• lindermanlab/ssm

  Bayesian learning and inference for state space models

  Language:Jupyter Notebook590206

• LantaoYu/MARL-Papers

  Paper list of multi-agent reinforcement learning (MARL)

  4.1k737