Search Results for "learning classifier system" - Page 19
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Showing 1111 open source projects for "learning classifier system"
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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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Build Data Resilience - Take the Assessment TodayIs your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
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TensorFlow Documentation
TensorFlow documentation
An end-to-end platform for machine learning. TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples. -
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MOOS
C# x64 operating system programming with the .NET native
MOOS (Meta Operating System) is an academic and experimental OS designed for clarity and extensibility, focusing on simplicity and modular construction. Written in Rust, MOOS provides a safe and modern platform to explore low-level system design, with a minimal but functional kernel that supports multitasking, a virtual memory manager, and a tiny standard library. -
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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SageMaker Experiments Python SDK
Experiment tracking and metric logging for Amazon SageMaker notebooks
Experiment tracking in SageMaker Training Jobs, Processing Jobs, and Notebooks. SageMaker Experiments is an AWS service for tracking machine learning Experiments. The SageMaker Experiments Python SDK is a high-level interface to this service that helps you track Experiment information using Python. Experiment tracking powers the machine learning integrated development environment Amazon SageMaker Studio. Experiment: A collection of related Trials. Add Trials to an Experiment that you wish to... -
One Monitoring Tool for IT, OT and Cloud | Free TrialModern infrastructure spans data centers, cloud platforms and factory floors, and every blind spot between them is a risk. PRTG supports SNMP, WMI, SSH and other standard protocols to monitor IT, OT and hybrid environments through one customizable dashboard. Build the views your team needs, from network health to application performance, without switching tools. Try PRTG free for 30 days now.
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LinuxOffice360
A universal desktop operating system.
It is an operating system designed for small businesses and offices. Very nice to look at and simple to use, whether you come from Linux, Windows or Mac. Without unnecessary frills, it is equipped with all the necessary software to start working even live. You will find everything in the right place and above all where you expect it to be. The learning curve is lightning fast and you will be productive right away. -
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AB3DMOT
Official Python Implementation for "3D Multi-Object Tracking
AB3DMOT is a real-time 3D multi-object tracking framework designed for applications such as autonomous driving and robotics perception. The system processes detection results from 3D object detectors that analyze LiDAR point clouds and uses them to track multiple objects across consecutive frames. Its tracking pipeline relies on a combination of classical algorithms, including a Kalman filter for state estimation and the Hungarian algorithm for data association between detected objects and... -
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bugstack
Java Backend Development Skills Roadbook
RoadMap is a Java backend development learning roadmap created to help programmers understand the full skill path from basic computing knowledge to delivery and deployment. It organizes the learning journey around the real workflow of taking requirements, designing systems, building software, testing quality, and releasing applications. The roadmap covers computer fundamentals, programming foundations, architecture, environment setup, backend development, libraries, debugging, testing,... -
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ACHE Focused Crawler
ACHE is a web crawler for domain-specific search
...It collects web pages that satisfy some specific criteria, e.g., pages that belong to a given domain or that contain a user-specified pattern. ACHE differs from generic crawlers in sense that it uses page classifiers to distinguish between relevant and irrelevant pages in a given domain. A page classifier can be defined as a simple regular expression (e.g., that matches every page that contains a specific word) or a machine-learning-based classification model. ACHE also automatically learns how to prioritize links in order to efficiently locate relevant content while avoiding the retrieval of irrelevant pages. While ACHE was originally designed to perform focused crawls, it also supports other crawling tasks, including crawling all pages in a given web site and crawling Dark Web sites (using the TOR protocol). -
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VALL-E
PyTorch implementation of VALL-E (Zero-Shot Text-To-Speech)
...During the pre-training stage, we scale up the TTS training data to 60K hours of English speech which is hundreds of times larger than existing systems. VALL-E emerges in-context learning capabilities and can be used to synthesize high-quality personalized speech with only a 3-second enrolled recording of an unseen speaker as an acoustic prompt. Experiment results show that VALL-E significantly outperforms the state-of-the-art zero-shot TTS system in terms of speech naturalness and speaker similarity. In addition, we find VALL-E could preserve the speaker's emotion and acoustic environment of the acoustic prompt in synthesis. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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FFCV
Fast Forward Computer Vision (and other ML workloads!)
ffcv is a drop-in data loading system that dramatically increases data throughput in model training. From gridding to benchmarking to fast research iteration, there are many reasons to want faster model training. Below we present premade codebases for training on ImageNet and CIFAR, including both (a) extensible codebases and (b) numerous premade training configurations. -
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Unitag is a language-independent Unicode-based part-of-speech tagging system. Written entirely in ANSI-compatible C, it should (in theory) compile on any OS, but has been tested on 32-bit Windows.
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auto-sklearn
Automated machine learning with scikit-learn
auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. auto-sklearn frees a machine learning user from algorithm selection and hyperparameter tuning. It leverages recent advantages in Bayesian optimization, meta-learning and ensemble construction. Auto-sklearn 2.0 includes latest research on automatically configuring the AutoML system itself and contains a multitude of improvements which speed up the fitting the AutoML system. auto-sklearn 2.0 works the same way as regular auto-sklearn. auto-sklearn is licensed the same way as scikit-learn, namely the 3-clause BSD license. -
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LifeAI is an artificial intelligence system that can be applied to robotics, games, or business. It simulates key processes of our minds, such as organizing data into concepts and categories, planning actions based on their predicted outcome, and communication. LifeAI was designed to be simple, but powerful and flexible enough to have many applications.
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ArtLine
Deep learning tool that converts portrait photos into line art
...ArtLine is primarily distributed as Jupyter notebooks, making it accessible for experimentation and interactive usage, especially in notebook-based environments. While the system can produce impressive results, it is sensitive to factors like lighting, background complexity, and image quality, and still struggles with elements such as shadows and fine details like hair. -
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Shope
This is an eCommerce minimalist template
Shope is a complete UI kit designed to help developers build eCommerce mobile applications quickly using Flutter. Known as “Shope,” the template provides a collection of prebuilt screens, components, and assets that cover common eCommerce use cases such as product browsing, shopping carts, and checkout flows. It includes more than 30 screens along with icons, fonts, and reusable UI components, significantly reducing development time for frontend implementation. The template is designed with... -
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Alpa
Training and serving large-scale neural networks
Alpa is a system for training and serving large-scale neural networks. Scaling neural networks to hundreds of billions of parameters has enabled dramatic breakthroughs such as GPT-3, but training and serving these large-scale neural networks require complicated distributed system techniques. Alpa aims to automate large-scale distributed training and serving with just a few lines of code. -
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Dragora GNU/Linux-Libre
An independent GNU/Linux-Libre distribution
Dragora is a complete and reliable distribution of the GNU/Linux operating system that is entirely free software. Dragora is founded on the concepts of simplicity and elegance, it can be run for almost any purpose (desktop, workstation, server, development, etc.). The intended audience are people interested in learning more about a GNU/Linux distribution, or simply people who are looking for quality. -
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codi.vim
The interactive scratchpad for hackers
...It creates a live buffer where inputs on one side produce continuously updated outputs on the other, helping you prototype snippets and explore APIs quickly. The plugin supports multiple languages by leveraging system interpreters or backends and displays results inline without switching context. It focuses on minimal setup so you can open a buffer, set a filetype, and start experimenting immediately. Because results update incrementally, it is useful for learning, debugging, or documenting small examples. It turns Vim into a lightweight computational notebook while keeping the modal editing experience intact. -
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MVVM
Analyze the principle of vue implementation and implement mvvm
...Because it mirrors ideas found in larger frameworks, it’s an excellent teaching aid for developers who want to understand why features like computed properties and watchers behave as they do. It is not intended as a production framework; instead, it’s a compact lab for learning the principles behind MVVM and modern reactive libraries. -
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System Design Notebook
Learn System Design step by step
System Design Notebook is a structured, personal knowledge base for learning and practicing system design, written in a way that mirrors real interview and on-the-job thinking. Instead of being a single long article, it’s split into topics like scalability, load balancing, data partitioning, caching, availability, consistency, and communication patterns, so you can study them in isolation. -
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System Programming Roadmap
A roadmap to teach myself compiler dev, malware reverse engineering
system-programming-roadmap is a curated roadmap and resource guide designed to help learners navigate the complex world of system-level programming. It aggregates high-quality tutorials, books, project ideas, and documentation links related to topics such as operating systems, file systems, kernel development, networking, and compilers. -
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Kernelhub
Kernel privilege escalation vulnerability collection
The original intention of making the project is for, learning, analyzing, and research the latest kernel vulnerabilities are not needed to see the system and related content. This project is a collection of proprietary, except for test failure or unspecified Exp, Demo GIF map. If there is an omission of the omission of CVE vulnerabilities, please join your issues and bring your use of code. -
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KubeOperator
An open source, lightweight Kubernetes distribution
KubeOperator is an open source, lightweight Kubernetes distribution focused on helping enterprises plan, deploy, and operate production-level K8s clusters. Compared with heavyweight PaaS platforms such as OpenShift, KubeOperator only focuses on solving one problem, which is to help enterprises plan (Day 0), deploy (Day 1), and operate (Day 2) production-level K8S clusters, and achieve the ultimate. Supports multiple computing, storage and networking scenarios. Integrate Ansible and... -
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Resources for Competitive Programming
Competitive Programming & System Design Resources
Competitive Programming Resources is a curated collection for learners preparing for competitive programming, coding interviews, system design, and problem solving. It gathers video tutorials, practice platforms, algorithm references, interview preparation links, and system design materials in one place. The repository is not a software library but a structured learning hub for people who want to improve algorithmic thinking and technical interview readiness. It points users toward platforms such as Codeforces, CodeChef, LeetCode, AtCoder, TopCoder, SPOJ, HackerRank, and Project Euler. ... -
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crunch++ Debian
LightWeight Debian OS
...In this there is not Dock so you need to Install any dock software, I will prefer plank dock. username - hemant password - <spacebar> one time this os can be used for experiment purpose, and learning purpose. after installing vm just write this command for first time, to update and upgrade the system, it is welcome process, it's *OPTIONAL* `/usr/bin/cbpp-welcome`
