m-koptev

m-koptev's Stars

• epfl-lasa/OptimalModulationDS

  Language:Python222

• jtriley2p/the-rippler

  Language:Solidity753

• lejacobroy/aerials-downloader

  Sonoma Aerials Downloader

  Language:Python19818

• tisimst/pyswarm

  Particle swarm optimization (PSO) that supports constraints

  Language:Python325139

• djsime1/awesome-flipperzero

  🐬 A collection of awesome resources for the Flipper Zero device.

  20.2k886

• epfl-lasa/franka-lightweight-interface

  Language:C++62

• JetBrains/JetBrainsMono

  JetBrains Mono – the free and open-source typeface for developers

  Language:Shell11.4k311

• booksbyus/zguide

  Learning and Using ØMQ

  Language:PHP3.5k1.7k

• sisl/MPOPIS

  Adaptive importance sampling modification to MPPI

  Language:Julia9012

• pinax-network/awesome-substreams

  😎 Awesome lists about Substreams

  12010

• glederrey/EPFL_thesis_template

  Unofficial template for the PhD thesis at EPFL maintained by PolyDoc

  Language:TeX103110

• hiberbee/themes

  Dark color schemes for Jetbrains IDEs

  Language:JavaScript18516

• epfl-lasa/Joint-Space-SCA

  Language:C++153

• facebookresearch/differentiable-robot-model

  We are implementing differentiable models of robot manipulators, which allows us to learn typically assumed to be known models of robots for control and motion planning.

  Language:Python24237

• cvxgrp/cvxpygen

  Code generation with CVXPY

  Language:Python13919

• NVlabs/storm

  Stochastic Tensor Optimization for Robot Motion - A GPU Robot Motion Toolkit

  Language:Python20539

• karpathy/cryptos

  Pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes

  Language:Jupyter Notebook1.7k289

• JohannaXie/FrankaMPC

  Language:C2

• anyblockanalytics/thegraph-allocation-optimization

  Allocation Optimization The Graph

  Language:Python127

• koen84/Graph-tools

  My collection of The Graph (Mission Control) scripts & related files

  Language:Shell134

• m-koptev/tmux-config

  1

• marcocognetti/FrankaEmikaPandaDynModel

  Dynamic model of the Franka Emika Panda robot

  Language:C++14844

• claesenm/approxsvm

  Approximating nonlinear SVM models with RBF kernel.

  Language:Shell76

• 091500/ifttthooks

  3

• epfl-lasa/dynamic_obstacle_avoidance_linear

  This package contains a dynamic obstacle avoidance algorithm for concave and convex obstacles as developped in [1].

  Language:Python5812

• nbfigueroa/ds-opt

  Toolbox including several techniques for estimation of Globally Asymptotically Stable Dynamical Systems from demonstrations. It focuses on the Linear Parameter Varying formulation with "physically-consistent" GMM mixing function and different constraint variants, as proposed in [1].

  Language:MATLAB328

• nbfigueroa/phys-gmm

  Physically-consistent GMM fitting approach proposed by Figueroa, N. and Billard, A. (2018) "A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning". In Proceedings of the 2nd Conference on Robot Learning (CoRL).

  Language:MATLAB176

• Xtra-Computing/thundersvm

  ThunderSVM: A Fast SVM Library on GPUs and CPUs

  Language:C++1.6k221