SUSE-openSUSE-Guide
SUSE/openSUSE Guide
https://github.com/mikeroyal/SUSE-openSUSE-Guide
Last synced: 3 days ago
JSON representation
-
Open Source Security Learning Resources
- Certified Information Systems Security Professional (CISSP) Certification
- Security Training Certifications and Courses from Udemy
- Security Certifications Training from Pluarlsight
- Statistical Noise
- Laplacian Noise - distributed noise to a function.
- Microsoft Open Source Software Security
- The Seven Properties of Highly Secure Devices
- Cisco Security Certifications
- Cybersecurity Courses and Certifications by Offensive Security
- Juniper Networks Certification Program Enterprise (JNCP)
- Differential Privacy
- Linux Professional Institute LPIC-3 Enterprise Security Certification
-
Performance Benchmarks
- Geekbench 5 - platform benchmark that measures your system's performance with the press of a button.
- UNIGINE Superposition
-
Privacy Learning Resources
- Apple's Differential Privacy Overview
- Learning with Privacy at Scale with Apple Machine Learning
- Microsoft Research Differential Privacy Overview
- Preserve data privacy by using differential privacy and the SmartNoise package
- Computing Private Statistics with Privacy on Beam from Google Codelabs
- Introducing TensorFlow Privacy: Learning with Differential Privacy for Training Data
- Differentially-Private Stochastic Gradient Descent(DP-SGD)
- Learning Differential Privacy from Harvard University Privacy Tools Project
- Harvard University Privacy Tools Project Courses & Educational Materials
- The Weaknesses of Differential Privacy course on Coursera
- The Differential Privacy of Bayesian Inference
- Simultaneous private learning of multiple concepts
- The Complexity of Computing the Optimal Composition of Differential Privacy
- Order revealing encryption and the hardness of private learning
- SAP HANA data anonymization using SAP Software Solutions
- SAP HANA Security using their In-Memory Database
- DEFCON Differential Privacy Training Launch
- Secure and Private AI course on Udacity
- Differential Privacy - Security and Privacy for Big Data - Part 1 course on Coursera
- Differential Privacy - Security and Privacy for Big Data - Part 2 course on Coursera
- Certified Ethical Emerging Technologist Professional Certificate course on Coursera
- Open Differential Privacy(OpenDP) Initiative by Microsoft and Harvard
- Google's Differential Privacy Library
- Open Differential Privacy(OpenDP) Initiative by Microsoft and Harvard
- Open Differential Privacy(OpenDP) Initiative by Microsoft and Harvard
- Open Differential Privacy(OpenDP) Initiative by Microsoft and Harvard
- Open Differential Privacy(OpenDP) Initiative by Microsoft and Harvard
- Responsible Machine Learning with Microsoft Azure
- Open Differential Privacy(OpenDP) Initiative by Microsoft and Harvard
- Computing Private Statistics with Privacy on Beam from Google Codelabs
- TensorFlow Federated: Machine Learning on Decentralized Data
- Responsible AI Resources with Microsoft AI
-
Protocols
- OAuth 2.0 - party applications to access the user account.
-
Robotics Learning Resources
- Learn Robotics with Online Courses and Classes from edX
- Top Robotics Courses Online from Udemy
- Free Online AI & Robotics Courses
- Carnegie Mellon Robotics Academy
- AWS RoboMaker – Develop, Test, Deploy, and Manage Intelligent Robotics Apps
- Azure VM templates to bootstrap ROS and ROS 2 environments
- Google Robotics Research
- Open Source Security Foundation (OpenSSF) - industry collaboration that brings together leaders to improve the security of open source software by building a broader community, targeted initiatives, and best practices. The OpenSSF brings together open source security initiatives under one foundation to accelerate work through cross-industry support. Along with the Core Infrastructure Initiative and the Open Source Security Coalition, and will include new working groups that address vulnerability disclosures, security tooling and more.
- RIA Robotic Integrator Certification Program
- Microsoft AI School
- REC Foundation Robotics Industry Certification
-
Security Standards, Frameworks and Benchmarks
- STIGs Benchmarks - Security Technical Implementation Guides
- ISO Standards Catalogue
- Common Criteria for Information Technology Security Evaluation (CC)
- EU GDPR (General Data Protection Regulation)
- CCPA (California Consumer Privacy Act)
- ISO 22301 - practice framework for implementing an optimised BCMS (business continuity management system).
- ISO 27701
- SOC 2
- ISO27001 - effectively.
-
Security Tools
- AppArmor - to-use Linux application security system. AppArmor proactively protects the operating system and applications from external or internal threats, even zero-day attacks, by enforcing good behavior and preventing both known and unknown application flaws from being exploited. AppArmor supplements the traditional Unix discretionary access control (DAC) model by providing mandatory access control (MAC). It has been included in the mainline Linux kernel since version 2.6.36 and its development has been supported by Canonical since 2009.
- Control Groups(Cgroups) - defined groups of tasks (processes) running on a system.
- Libgcrypt
- Kali Linux - class information security training and penetration testing services.
- Pi-hole - side software, intended for use on a private network. It is designed for use on embedded devices with network capability, such as the Raspberry Pi, but it can be used on other machines running Linux and cloud implementations.
- Aircrack-ng - PSK cracker and analysis tool for 802.11 wireless LANs. It works with any wireless network interface controller whose driver supports raw monitoring mode and can sniff 802.11a, 802.11b and 802.11g traffic.
- Burp Suite
- KernelCI - based open source distributed test automation system focused on upstream kernel development. The primary goal of KernelCI is to use an open testing philosophy to ensure the quality, stability and long-term maintenance of the Linux kernel.
- Continuous Kernel Integration project
- Cilium
- Istio
- Scapy - based interactive packet manipulation program & library.
- OSSEC - source host-based intrusion detection system. It performs log analysis, integrity checking, Windows registry monitoring, rootkit detection, time-based alerting, and active response.
- Metasploit Project
- Nmap
- pfSense
- Snort - source, free and lightweight network intrusion detection system (NIDS) software for Linux and Windows to detect emerging threats.
- Wireshark - source packet analyzer. It is used for network troubleshooting, analysis, software and communications protocol development, and education.
- OpenSCAP
- Open Vulnerability and Assessment Language
- ClamAV
- SELinux - rwxr-xr-x) are modifiable by the user and the applications which the user runs. Conversely, SELinux access controls are determined by a policy loaded on the system which may not be changed by careless users or misbehaving applications.
- EarlyOOM - memory situations with heavy swap usage.
- Hubble
- Certgen
- syzkaller - guided kernel fuzzer.
- SchedViz
- oss-fuzz
- Wfuzz
- Patchwork - based patch tracking system designed to facilitate the contribution and management of contributions to an open-source project.
- Snowpatch - based, mailing-list-centric git workflow. This workflow is used by a number of well-known open source projects such as the Linux kernel.
- Tink - language, cross-platform, open source library that provides cryptographic APIs that are secure, easy to use correctly, and harder to misuse.
- Control Groups(Cgroups) - defined groups of tasks (processes) running on a system.
- eBPF - rich without continuing to add additional layers of complexity to the system.
-
Snaps
-
Steam
-
Tools
- Panda3D - source and free for any purpose, including commercial ventures.
- Source 2 - Life: Alyx.
- Open Graphics Library(OpenGL) - accelerated rendering of 2D/3D vector graphics currently developed by the [Khronos Group](https://www.khronos.org/).
- Open Computing Language (OpenCL) - to-parallel-computing-zNrIS) of heterogeneous platforms consisting of CPUs, GPUs, and other hardware accelerators found in supercomputers, cloud servers, personal computers, mobile devices and embedded platforms.
- HGIG
- Superpowers - time collaborative projects . You can use it solo like a regular offline game maker, or setup a password and let friends join in on your project through their Web browser.
- Privacy on Beam - to-end differential privacy solution built on [Apache Beam](https://beam.apache.org/documentation/). It is intended to be usable by all developers, regardless of their differential privacy expertise.
- Opacus
- PySyft - learning-collaborative.html), [Differential Privacy](https://www.microsoft.com/en-us/ai/ai-lab-differential-privacy), and Encrypted Computation (like [Multi-Party Computation (MPC)](https://multiparty.org) and [Homomorphic Encryption (HE)](https://www.microsoft.com/en-us/research/project/homomorphic-encryption/) within the main Deep Learning frameworks like [PyTorch](https://pytorch.org/) and [TensorFlow](https://www.tensorflow.org/).
- TensorFlow Privacy
- PyDP
- Skorch - learn compatible neural network library that wraps PyTorch.
- Diffprivlib
- Vulkan - platform graphics and compute API that provides high-efficiency, cross-platform access to modern GPUs used in a wide variety of devices from PCs and consoles to mobile phones and embedded platforms. Vulkan is currently in development by the Khronos consortium.
- High Level Shading Language(HLSL) - like programmable shaders for the Direct3D pipeline. HLSL was first created with DirectX 9 to set up the programmable 3D pipeline.
- MoltenVK
- OpenGL Shading Language(GLSL) - style language, so it covers most of the features a user would expect with such a language. Such as control structures (for-loops, if-else statements, etc) exist in GLSL, including the switch statement.
- TensorFlow Federated (TFF) - source framework for machine learning and other computations on decentralized data. TFF has been developed to facilitate open research and experimentation with [Federated Learning (FL)](https://ai.googleblog.com/2017/04/federated-learning-collaborative.html), an approach to machine learning where a shared global model is trained across many participating clients that keep their training data locally.
- PyTorch Geometric (PyG)
- Smart Noise - of-the-art differential privacy (DP) techniques to inject noise into data, to prevent disclosure of sensitive information and manage exposure risk.
- Superpowers - time collaborative projects . You can use it solo like a regular offline game maker, or setup a password and let friends join in on your project through their Web browser.
-
Tools for Robotics
- ROS - level device control, implementation of commonly used functionality, message-passing between processes, and package management.
- ROS2 - of-the-art algorithms, and with powerful developer tools, ROS has what you need for your next robotics project. And it’s all open source.
- Robot Framework - readable keywords. Its capabilities can be extended by libraries implemented with Python or Java.
- Robotics System Toolbox
- Arduino - source platform used for building electronics projects. Arduino consists of both a physical programmable circuit board (often referred to as a microcontroller) and a piece of software, or IDE (Integrated Development Environment) that runs on your computer, used to write and upload computer code to the physical board.
- ArduPilot
- Light Detection and Ranging(LiDAR) - driving vehicles.
- ROS-Industrial
- AWS RoboMaker - managed, scalable infrastructure for simulation that customers use for multi-robot simulation and CI/CD integration with regression testing in simulation.
- Microsoft Robotics Developer Studio - based programming environment for building robotics applications.
- The Robotics Library (RL) - contained C++ library for robot kinematics, motion planning and control. It covers mathematics, kinematics and dynamics, hardware abstraction, motion planning, collision detection, and visualization.RL runs on many different systems, including Linux, macOS, and Windows. It uses CMake as a build system and can be compiled with Clang, GCC, and Visual Studio.
- Intel Robot DevKit
- AirSim - source, cross platform, and supports hardware-in-loop with popular flight controllers such as PX4 for physically and visually realistic simulations.
- F´ (F Prime) - driven framework that enables rapid development and deployment of spaceflight and other embedded software applications. Originally developed at the Jet Propulsion Laboratory, F´ has been successfully deployed on several space applications.
- The JPL Open Source Rover
- AliceVision - of-the-art computer vision algorithms that can be tested, analyzed and reused. The project is a result of collaboration between academia and industry to provide cutting-edge algorithms with the robustness and the quality required for production usage.
- CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions.
- ROS bridge
- Visual Studio Code Extension for ROS
- Azure Kinect ROS Driver - us/services/kinect-dk/) to the [Robot Operating System (ROS)](http://www.ros.org/). Developers working with ROS can use this node to connect an Azure Kinect Developer Kit to an existing ROS installation.
- Azure IoT Hub for ROS
- ROS 2 with ONNX Runtime
- Azure Cognitive Services LUIS ROS Node
- MoveIt - to-use robotics platform for developing advanced applications, evaluating new designs and building integrated products for industrial, commercial, R&D, and other domains.
-
Virtualization
- KVM (for Kernel-based Virtual Machine) - V). It consists of a loadable kernel module, kvm.ko, that provides the core virtualization infrastructure and a processor specific module, kvm-intel.ko or kvm-amd.ko.
- VirtManager
- Xen
- Ganeti
- VirtualBox
-
Wine
- WINE(Wine Is Not an Emulator) - compliant operating systems, such as Linux, macOS, & BSD. Instead of simulating internal Windows logic like a virtual machine or emulator, Wine translates Windows API calls into POSIX calls on-the-fly, eliminating the performance and memory penalties of other methods and allowing you to cleanly integrate Windows applications into your desktop.
Programming Languages
Categories
Game Development Learning Resources
71
DevOps Tools
67
Databases and Tools
45
Security Tools
34
Privacy Learning Resources
32
Essential Apps(depending on your workflow)
29
ML frameworks & applications
28
Tools for Robotics
24
Tools
21
Kubernetes Learning Resources
19
Open Source Security Learning Resources
19
Database Learning Resources
15
DevOps Learning Resources
14
Flutter Learning Resources
13
Networking Learning Resources
12
Augmented Reality (AR) & Virtual Reality (VR)
11
Robotics Learning Resources
11
Cloud Native Learning Resources
10
Game Engines
9
Security Standards, Frameworks and Benchmarks
9
GameHub
8
Game Emulators
7
Flutter Tools
6
DevOps
5
Virtualization
5
Game Streaming
4
Online ML Learning Resources
3
Snaps
3
Graphics Performance
3
Steam
2
Flatpaks
2
Lutris
2
AppImages
2
Containers
2
Performance Benchmarks
2
Continuous Integration/Continuous Delivery
2
KDE Plasma Discover Software Center
1
Microservices
1
Wine
1
Enable Firewall
1
License
1
Protocols
1
Sub Categories
Keywords
linux
8
ros
6
machine-learning
5
python
5
deep-learning
4
security
4
privacy
3
differential-privacy
3
computer-vision
3
vr
3
kubernetes
3
cross-platform
3
azure
3
pytorch
3
cpp
3
visualization
2
ai
2
big-data
2
artificial-intelligence
2
autonomous-vehicles
2
kernel
2
fuzzing
2
cryptography
2
fuzz-testing
2
deep-reinforcement-learning
2
research
2
self-driving-car
2
simulator
2
cuda
2
steamvr
2
android
2
tracing
2
c
2
nvidia
2
hardware
2
robotics
2
virtualization
2
macos
2
windows
2
electron
2
java
2
compiler
2
go
2
flutter
2
kvm
2
desktop-application
2
recording
1
robot
1
open-source
1
mars-rover
1