Autonomous-Systems-Guide
Autonomous Systems Guide
https://github.com/mikeroyal/Autonomous-Systems-Guide
Last synced: 7 days ago
JSON representation
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Autodesk Learning Resources
- Autodesk
- CNC programming (Computer Numerical Control Programming)
- AutoDesk Learning & Training
- Autodesk Certification
- Autodesk University
- Autodesk Design Academy
- Autodesk Customer Success Hub
- Software and Services for Education | Autodesk Education
- Top Autodesk Courses on Coursera
- AutoDesk Developer Network
- Learning Civil 3D on Autodesk Knowledge Network
- Top Autodesk Courses on Udemy
- Autodesk Customer Success Hub
- AutoDesk Forums
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Autodesk Tools and Frameworks
- Autodesk
- Tinkercad® - to-use app for 3D design, electronics, and coding. It's used by teachers, kids, hobbyists, and designers to imagine, design, and make anything.
- AEC(Architecture, Engineering & Construction) Collection® - based common data environment that facilitates project delivery from early-stage design through to construction.
- Fusion 360®
- Fusion 360 with FeatureCAM®
- Fusion 360 with Netfabb®
- Fusion 360 Manage
- Fusion Team - based coll tool that helps eliminate the inefficiencies that disparate tools create when working with your internal and external teams.
- Fusion 360 with PowerInspect®
- Fusion 360 with PowerShape®
- Autodesk PartMaker® - spindle machining operations. These can be used for turning, indexed and interpolated C-axis milling, Y-axis, and B-axis milling.
- Robot Structural Analysis Professional - integrated workflows to exchange data with Revit. It can help you to create more resilient, constructible designs that are accurate, coordinated, and connected to BIM.
- Revit LT™ - effective BIM (Building Information Modeling) solution, you can produce high-quality 3D architectural designs and documentation.
- Autodesk
- Maya LT™ - looking characters, props, and environments using the sophisticated 3D modeling and animation tools.
- Autodesk
- Arnold
- ReCap™ - built conditions to gain insights and make better decisions.
- Flame®
- Autodesk
- Character Generator® - based laboratory to create fully rigged 3D characters for animation packages and game engines.
- Smoke® - based compositing tools in a timeline-centered editing environment.
- ShotGrid
- Advance Steel®
- Media & Entertainment Collection®
- Civil 3D®
- Autodesk
- Inventor® CAM - embedded 2.5-axis to 5-axis milling, turning, and mill-turn capabilities.
- Product Design & Manufacturing Collection - grade applications that connect everyone, from concept to production, with shared tools to streamline your product development process.
- Autodesk
- BIM Collaborate Pro - based design collaboration and coordination software that connects AEC teams, helping you execute on design intent and deliver high-quality constructible models on a single platform.
- InfraWorks®
- SketchBook®
- Alias®
- Autodesk® Forge - based developer platform from Autodesk. That let's you access design and engineering data in the cloud with the Forge platform. Whether you want to automate processes, connect teams and workflows, or visualize your data using Forge APIs.
- Autodesk® CFD
- Autodesk® Drive
- Autodesk® Build
- Helius Composite - in solvers minimize the need to have secondary finite element analysis (FEA) software to analyze material characteristics more quickly.
- Insight - efficient buildings with advanced simulation engines and building performance analysis data integrated in Revit.
- Moldflow®
- MotionBuilder®
- PlanGrid Build
- Point Layout
- Structural Bridge Design® - span bridges used by engineers to deliver design reports faster.
- Vault®
- Vehicle Tracking®
- VRED® - rendering modes.
- Pype Closeout
- CAMplete - code post-processing, verification, and simulation for different kinds of CNC machinery. Import data from leading CAM software then use proven post-processors and highly accurate 3D machine models, developed in partnership with machine tool builders, to rapidly produce high-quality, collision free NC machining code.
- Autodesk® Rendering - resolution cloud rendering software that let's you produce stunning, high-quality renderings from designs and models with cloud rendering. This service uses cloud credits, which is a universal measure across Autodesk consumption-based cloud services to perform certain tasks in the cloud.
- Autodesk® Viewer
- EAGLE
- Revit®
- Autodesk BIM 360®
- Design Review
- Assemble BIM Data - in-place tracking, and more.
- BuildingConnected - time construction network that connects owners and builders through an easy-to-use platform to streamline the bid and risk management process.
- Pype
- AutoCAD LT® - aided design (CAD) software that architects, engineers, construction professionals, and designers rely on to design, draft, and document with precise 2D geometry.
- AutoCAD® Mobile App
- AutoCAD® Web App
- Autodesk
- Inventor Nastran® - embedded finite element analysis software that delivers finite element analysis (FEA) tools for engineers and analysts. Simulation covers multiple analysis types, such as linear and nonlinear stress, dynamics, and heat transfer.
- Inventor® Nesting - embedded, true-shape nesting tools for Inventor that helps you optimize yield from flat raw material. Easily compare nesting studies to optimize efficiency and reduce costs, and export 3D models or DXF™ files of the completed nest for cutting path generation.
- Inventor Tolerance Analysis® - embedded tolerance stackup analysis software that is designed to help Inventor users make more informed decisions while specifying manufacturing tolerances.
- Autodesk® Takeoff
- Bid Board Pro
- TradeTapp
- Fabrication ESTmep™, CADmep™, and CAMduct™ - alone or in the Architecture, Engineering & Construction Collection..
- Formit - based 3D sketching. The pro version of FormIt includes the tools in the FormIt app, plus Dynamo computation, and collaboration and analysis features.
- Helius PFA
- HSMWorks - embedded 2.5 to 5-axis milling, turning, and mill-turn capabilities. HSMWorks is included with your Fusion 360 subscription.
- Within Medical®
- Vault PLM - wide collaboration and product lifecycle management.
- PlanGrid Build
- Pype SmartPlans
- BuildingConnected - time construction network that connects owners and builders through an easy-to-use platform to streamline the bid and risk management process.
- Bid Board Pro
- TradeTapp
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C/C++ Learning Resources
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viii. Linear Regression
- C - purpose, high-level language that was originally developed by Dennis M. Ritchie to develop the UNIX operating system at Bell Labs. It supports structured programming, lexical variable scope, and recursion, with a static type system. C also provides constructs that map efficiently to typical machine instructions, which makes it one was of the most widely used programming languages today.
- Embedded C - committee) to address issues that exist between C extensions for different [embedded systems](https://en.wikipedia.org/wiki/Embedded_system). The extensions hep enhance microprocessor features such as fixed-point arithmetic, multiple distinct memory banks, and basic I/O operations. This makes Embedded C the most popular embedded software language in the world.
- C & C++ Developer Tools from JetBrains
- Open source C++ libraries on cppreference.com
- C++ Graphics libraries
- C++ Libraries in MATLAB
- Google C++ Style Guide
- Introduction C++ Education course on Google Developers
- C++ style guide for Fuchsia
- Chromium C++ Style Guide
- C++ Core Guidelines
- C++ Style Guide for ROS
- Learn C++
- Learn C : An Interactive C Tutorial
- C++ Online Training Courses on LinkedIn Learning
- C++ Tutorials on W3Schools
- Learn C Programming Online Courses on edX
- Learn C++ with Online Courses on edX
- Learn C++ on Codecademy
- Coding for Everyone: C and C++ course on Coursera
- C++ For C Programmers on Coursera
- C++ Online Courses on Udemy
- Top C Courses on Udemy
- Basics of Embedded C Programming for Beginners on Udemy
- C++ For Programmers Course on Udacity
- C++ Fundamentals Course on Pluralsight
- C++ - platform language that can be used to build high-performance applications developed by Bjarne Stroustrup, as an extension to the C language.
- C++ Tools and Libraries Articles
- C++ Style Guide for ROS
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C/C++ Tools and Frameworks
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viii. Linear Regression
- AWS SDK for C++
- Visual Studio - rich application that can be used for many aspects of software development. Visual Studio makes it easy to edit, debug, build, and publish your app. By using Microsoft software development platforms such as Windows API, Windows Forms, Windows Presentation Foundation, and Windows Store.
- Visual Studio Code
- ReSharper C++
- AppCode - fixes to resolve them automatically. AppCode provides lots of code inspections for Objective-C, Swift, C/C++, and a number of code inspections for other supported languages. All code inspections are run on the fly.
- CLion - platform IDE for C and C++ developers developed by JetBrains.
- Code::Blocks
- Conan
- High Performance Computing (HPC) SDK
- Boost - edge C++. Boost has been a participant in the annual Google Summer of Code since 2007, in which students develop their skills by working on Boost Library development.
- Automake
- Cmake - source, cross-platform family of tools designed to build, test and package software. CMake is used to control the software compilation process using simple platform and compiler independent configuration files, and generate native makefiles and workspaces that can be used in the compiler environment of your choice.
- GDB
- GCC - C, Fortran, Ada, Go, and D, as well as libraries for these languages.
- GSL - squares fitting. There are over 1000 functions in total with an extensive test suite.
- OpenGL Extension Wrangler Library (GLEW) - platform open-source C/C++ extension loading library. GLEW provides efficient run-time mechanisms for determining which OpenGL extensions are supported on the target platform.
- Libtool
- Maven
- TAU (Tuning And Analysis Utilities) - based sampling. All C++ language features are supported including templates and namespaces.
- Clang - C, C++ and Objective-C++ compiler when targeting X86-32, X86-64, and ARM (other targets may have caveats, but are usually easy to fix). Clang is used in production to build performance-critical software like Google Chrome or Firefox.
- OpenCV - time applications. Cross-Platform C++, Python and Java interfaces support Linux, MacOS, Windows, iOS, and Android.
- ANTLR (ANother Tool for Language Recognition)
- Oat++ - efficient web application. It's zero-dependency and easy-portable.
- Cython
- Infer - C, and C. Infer is written in [OCaml](https://ocaml.org/).
- Azure SDK for C++
- Azure SDK for C
- C++ Client Libraries for Google Cloud Services
- Vcpkg
- CppSharp
- JavaCPP
- Spdlog - only/compiled, C++ logging library.
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Computer Vision Learning Resources
- Computer Vision
- OpenCV Courses
- Top Computer Vision Courses Online | Coursera
- Top Computer Vision Courses Online | Udemy
- Learn Computer Vision with Online Courses and Lessons | edX
- Computer Vision and Image Processing Fundamentals | edX
- Computer Vision Nanodegree program | Udacity
- Machine Vision Course |MIT Open Courseware
- Computer Vision Training Courses | NobleProg
- Visual Computing Graduate Program | Stanford Online
- Introduction to Computer Vision Courses | Udacity
- Computer Vision
- Computer Vision
- Computer Vision and Image Processing Fundamentals | edX
- OpenCV Courses
- Exploring Computer Vision in Microsoft Azure
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Computer Vision Tools, Libraries, and Frameworks
- Automated Driving Toolbox™ - eye-view plot and scope for sensor coverage, detections and tracks, and displays for video, lidar, and maps. The toolbox lets you import and work with HERE HD Live Map data and OpenDRIVE® road networks. It also provides reference application examples for common ADAS and automated driving features, including FCW, AEB, ACC, LKA, and parking valet. The toolbox supports C/C++ code generation for rapid prototyping and HIL testing, with support for sensor fusion, tracking, path planning, and vehicle controller algorithms.
- Computer Vision Toolbox™
- Statistics and Machine Learning Toolbox™
- Lidar Toolbox™ - camera cross calibration for workflows that combine computer vision and lidar processing.
- Mapping Toolbox™
- UAV Toolbox
- Parallel Computing Toolbox™ - intensive problems using multicore processors, GPUs, and computer clusters. High-level constructs such as parallel for-loops, special array types, and parallelized numerical algorithms enable you to parallelize MATLAB® applications without CUDA or MPI programming. The toolbox lets you use parallel-enabled functions in MATLAB and other toolboxes. You can use the toolbox with Simulink® to run multiple simulations of a model in parallel. Programs and models can run in both interactive and batch modes.
- Partial Differential Equation Toolbox™
- ROS Toolbox
- Robotics Toolbox™ - holonomic vehicle. The Toolbox also including a detailed Simulink model for a quadrotor flying robot.
- Deep Learning Toolbox™ - term memory (LSTM) networks to perform classification and regression on image, time-series, and text data. You can build network architectures such as generative adversarial networks (GANs) and Siamese networks using automatic differentiation, custom training loops, and shared weights. With the Deep Network Designer app, you can design, analyze, and train networks graphically. It can exchange models with TensorFlow™ and PyTorch through the ONNX format and import models from TensorFlow-Keras and Caffe. The toolbox supports transfer learning with DarkNet-53, ResNet-50, NASNet, SqueezeNet and many other pretrained models.
- Reinforcement Learning Toolbox™ - making algorithms for complex applications such as resource allocation, robotics, and autonomous systems.
- Deep Learning HDL Toolbox™ - built bitstreams for running a variety of deep learning networks on supported Xilinx® and Intel® FPGA and SoC devices. Profiling and estimation tools let you customize a deep learning network by exploring design, performance, and resource utilization tradeoffs.
- Model Predictive Control Toolbox™ - loop simulations, you can evaluate controller performance.
- Vision HDL Toolbox™ - streaming algorithms for the design and implementation of vision systems on FPGAs and ASICs. It provides a design framework that supports a diverse set of interface types, frame sizes, and frame rates. The image processing, video, and computer vision algorithms in the toolbox use an architecture appropriate for HDL implementations.
- Data Acquisition Toolbox™
- Microsoft AirSim - source, cross platform, and supports [software-in-the-loop simulation](https://www.mathworks.com/help///ecoder/software-in-the-loop-sil-simulation.html) with popular flight controllers such as PX4 & ArduPilot and [hardware-in-loop](https://www.ni.com/en-us/innovations/white-papers/17/what-is-hardware-in-the-loop-.html) with PX4 for physically and visually realistic simulations. It is developed as an Unreal plugin that can simply be dropped into any Unreal environment. AirSim is being developed as a platform for AI research to experiment with deep learning, computer vision and reinforcement learning algorithms for autonomous vehicles.
- Fuzzy logic - tree processing and better integration with rules-based programming.
- ResearchGate
- Support Vector Machine (SVM) - group classification problems.
- OpenClipArt
- Convolutional Neural Networks (R-CNN)
- CS231n
- Slideteam
- DeepAI
- wikimedia
- Decision trees - structured models for classification and regression.
- CMU
- Naive Bayes - theorem.html) with strong independence assumptions between the features.
Programming Languages
Categories
Robotics Tools and Frameworks
120
Autodesk Tools and Frameworks
80
Computer Vision Tools, Libraries, and Frameworks
49
C/C++ Tools and Frameworks
32
C/C++ Learning Resources
29
Python Frameworks, Libraries, and Tools
26
ML Frameworks, Libraries, and Tools
26
Photogrammetry Tools, Libraries, and Frameworks
26
Julia Tools, Libraries and Frameworks
21
CUDA Tools Libraries, and Frameworks
19
LiDAR Tools & Frameworks
16
Computer Vision Learning Resources
16
MATLAB Tools, Libraries, Frameworks
16
Robotics Learning Resources
15
Learning Resources for ML
15
MATLAB Learning Resources
14
R Learning Resources
14
Autodesk Learning Resources
14
R Tools, Libraries, and Frameworks
13
LiDAR Learning Resources
13
Python Learning Resources
12
Photogrammetry Learning Resources
10
Julia Learning Resources
10
CUDA Learning Resources
6
Robotic Arms & Dev Kits
3
License
1
Sub Categories
viii. Linear Regression
214
vi. Determinants
2
v. Fundamental vector spaces
2
i. Basis
2
i. Using row operations
2
iv. Linear transformations
2
iii. Matrix-vector product
2
i. Vector operations
2
i. Solving systems of equations
2
ii. Systems of equations as matrix equations
2
ii. Matrix operations
2
iii. Dimension and Basis for Vector Spaces
1
iii. Transpose of a Matrix
1
iv. Row space, columns space, and rank of a matrix
1
vii. Eigenvalues and eigenvectors
1
ii. Matrix representations of linear transformations
1
ii. Using elementary matrices
1
Keywords
python
14
deep-learning
9
cpp
8
cuda
8
machine-learning
7
ros
6
gpu
6
computer-vision
4
data-science
4
nvidia
4
azure
4
julia
4
pytorch
3
matlab
3
cxx14
3
cpp14
3
neural-network
3
neural-networks
3
tensorflow
3
ai
3
artificial-intelligence
3
cpp11
3
deep-reinforcement-learning
3
c
3
visualization
2
cpp17
2
algorithms
2
structure-from-motion
2
photogrammetry
2
docker
2
cloud
2
cpp20
2
statistics
2
cxx
2
cxx11
2
tensor
2
cxx17
2
cxx20
2
gpu-computing
2
nvidia-hpc-sdk
2
simulator
2
autonomous-vehicles
2
self-driving-car
2
ros2
2
cross-platform
2
research
2
visual-studio
2
cli
2
robotics
2
data-visualization
2