Stars
A curated list of awesome Machine Learning frameworks, libraries and software.
"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Python sample codes and textbook for robotics algorithms.
Model-based design and verification for robotics.
RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension
A curated list of awesome C/C++ performance optimization resources: talks, articles, books, libraries, tools, sites, blogs. Inspired by awesome.
An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.
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 …
Parametric 2D and 3D modeler written in pure javascript
Marrying Rust and CMake - Easy Rust and C/C++ Integration!
Fast and embedded solvers for nonlinear optimal control and nonlinear model predictive control
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory …
Flang is a Fortran language front-end designed for integration with LLVM.
A lightweight high performance tensor algebra framework for modern C++
An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support
Optimal Motion Generation-tools: motion planning made easy
A lightweight conic solver for second-order cone programming.
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
Auditing and relabeling cross-distribution Linux wheels.
CMake scripts for painless usage of SuiteSparse+METIS from Visual Studio and the rest of Windows/Linux/OSX IDEs supported by CMake
Basic linear algebra subroutines for embedded optimization
Find and copy needed dynamic libraries into python wheels
Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)