Search Results for "machine learning workloads"
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Showing 11 open source projects for "machine learning workloads"
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Veeam Data Platform v13.1 - Get Your Free TrialTry Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
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Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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Apple Silicon Guide
Learn all about the A17 Pro, A16 Bionic, R1, M1-series
...It covers differences between Apple Silicon and legacy Intel architectures, helping users understand how to choose software builds (arm64 vs. universal), deal with Rosetta 2 translation, and optimize workloads for native performance. The guide also includes practical advice on setting up development environments — such as configuring compilers, package managers, containers, virtualization tools (e.g., UTM/VMs) — and resolving common pain points with dependencies that historically lacked native support. For creative and power users, there are performance recommendations for video/audio production, machine learning workflows, and GPU-accelerated tasks. -
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Safe Exam Browser is a webbrowser-environment to carry out online-exams safely. The software changes any computer into a secure workstation. It regulates the access to any utilities and prevents students from using unauthorised resources.
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Greenplum Database
Massive parallel data platform for analytics, machine learning and AI
Rapidly create and deploy models for complex applications in cybersecurity, predictive maintenance, risk management, fraud detection, and many other areas. With its unique cost-based query optimizer designed for large-scale data workloads, Greenplum scales interactive and batch-mode analytics to large datasets in the petabytes without degrading query performance and throughput. Based on PostgreSQL, Greenplum provides you with more control over the software you deploy, reducing vendor... -
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Face Mask Detection
Face Mask Detection system based on computer vision and deep learning
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras. Face Mask Detection System built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams. Amid the ongoing COVID-19 pandemic, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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cintruder
CIntruder - OCR Bruteforcing Toolkit
Captcha Intruder is an automatic pentesting tool to bypass captchas. -> CIntruder-v0.4 (.zip) -> md5 = 6326ab514e329e4ccd5e1533d5d53967 -> CIntruder-v0.4 (.tar.gz) ->md5 = 2256fccac505064f3b84ee2c43921a68 -------------------------------------------- -
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Security Datasets
Re-play Security Events
Security‑Datasets is a community-driven repository maintained by the Open Threat Research Forge (OTRF) that curates publicly available malicious and benign datasets for threat-hunting, machine learning, event analysis, and cybersecurity research. Datasets include Windows events, logs, alerts, and simulated attack data to support detection engineering and academic research. -
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Whonix
Whonix is an Anonymous Operating System.
THIS IS NOT WHONIX'S HOMEPAGE. Please go to: https://www.whonix.org/ (This is only Whonix's sourceforge must-have project page.) Whonix is an operating system focused on anonymity, privacy and security. It's based on the Tor anonymity network, Debian GNU/Linux and security by isolation. DNS leaks are impossible, and not even malware with root privileges can find out the user's real IP. Whonix consists of two parts: One solely runs Tor and acts as a gateway, which we call... -
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ANNFiD
A forensic file identification tool using neural networks
Just carved a bunch of bytes and have no idea what they could be? Maybe ANNFiD can help. ANNFiD uses neural network to identify byte patterns. It can be trained and has a GUI to help in the process. The tool is still on a very early stage, but could improve exponentially with the help of the developer community -
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Reactor Breeder
A Genetic Algorithm for Reactors in StarMade
This software uses a genetic algorithm to "evolve" reactor designs for Schema's space-simulation game, Star-Made (http://star-made.org/). One of the more unique aspects of the game is that ship power management is not as simple as filling a cube with power generation blocks. This mechanism leads to difficulties in getting maximal power generation out of such reactors. This program rectifies this issue by using a self-organizing variant of brute force search. Much of the search space is... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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SuStorID is an advanced Intrusion Detection System (IDS) for web services, based on machine learning. Its name comes from the term “Su Stori”, which in Sardinian language means “The Falcon”. It’s version is experimental, but demonstrates a number of interesting features, that can be readily exploited to detect and act against web attacks. SuStorID can be coupled with modsecurity, the well known web application firewall, to gather training data and provide for real-time counteractions. ...
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A packet dissector driven by machine learning algorithms. You train it to recognize specific types of packets by showing it examples and counterexamples of some packet type, and it will figure out which bits in the packet define it as the type you seek.
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