Search Results for "learning classifier system" - Page 4
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Showing 165 open source projects for "learning classifier system"
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FlubuCore
A cross platform build and deployment automation system
"FlubuCore - Fluent Builder Core" is a cross-platform build and deployment automation system. You can define your build and deployment scripts in C# using an intuitive fluent interface. This gives you code completion, IntelliSense, debugging, FlubuCore custom analyzers, and native access to the whole .NET ecosystem inside of your scripts. FlubuCore offers a .net (core) console application that uses power of roslyn to compile and execute scripts. Intuitive and easy to learn. C#, fluent... -
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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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The HaskellR project
The full power of R in Haskell
...HaskellR allows Haskell functions to seamlessly call R functions and vice versa. It provides the Haskell programmer with the full breadth of existing R libraries and extensions for numerical computation, statistical analysis and machine learning. Optionally, pass in the --nix flag to all commands if you have the Nix package manager installed. Nix can populate a local build environment including all necessary system dependencies without touching your global filesystem. Use it as a cross-platform alternative to Docker. -
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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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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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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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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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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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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. -
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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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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go-coffeeshop
A practical event-driven microservices demo
...The repository is intended as a learning resource for developers who want to understand how to apply architectural patterns in Go projects. It also includes examples of integrating external systems and handling real-world scenarios such as order processing and inventory management. -
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Scotty
Haskell web framework inspired by Ruby's Sinatra, using WAI and Warp
Scotty is a lightweight Haskell web framework inspired by Ruby’s Sinatra. It allows developers to build RESTful web applications and APIs with minimal boilerplate. Scotty is built on top of the WAI (Web Application Interface) and Warp server, making it fast and scalable. It emphasizes simplicity and ease of use, making it ideal for small- to medium-sized services or for developers learning web programming in Haskell. -
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Rakkas
Bleeding-edge React framework powered by Vite
Rakkas is a bleeding-edge full-stack React framework powered by Vite. You can consider it an up-and-coming alternative to Next.js, Remix, or Gatsby. Although many features have been implemented, Rakkas is still under heavy development. It uses experimental and/or beta features of React and Vite. Minor releases will introduce breaking changes until we hit 1.0. As such, it's not yet ready for production use. If you need a stable React framework try Next.js, Remix, or Gatsby. create-rakkas-app... -
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Guide to Technical Interviews
Guided collection and roadmap for preparing technical interviews
This repository is a guided collection and roadmap for preparing technical interviews, covering the gamut from algorithmic challenges and data structures to system design and behavioral preparation. It consolidates resources like interview question lists, practice platforms, mock interview sites, and recommended books or blogs. For individuals targeting big-tech or rigorous interview processes, this acts as a structured study guide rather than a random list of links. The README breaks down... -
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SuperEdge
An edge-native container management system for edge computing
SuperEdge is an open-source container management system for edge computing to manage compute resources and container applications in multiple edge regions. These resources and applications, in the current approach, are managed as one single Kubernetes cluster. A native Kubernetes cluster can be easily converted to a SuperEdge cluster. SuperEdge extends the powerful container orchestration and scheduling capabilities of Kubernetes to the edge. -
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Linux-Tutorial
Learning repository written from the perspective of a Java programmer
...The author presents it as a personal knowledge organization project rather than a perfectly formal manual, encouraging readers to approach it critically. It is most useful for Java developers, backend learners, and system beginners who want practical Linux operation knowledge. -
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Detectron2
Next-generation platform for object detection and segmentation
Detectron2 is Facebook AI Research's next generation software system that implements state-of-the-art object detection algorithms. It is a ground-up rewrite of the previous version, Detectron, and it originates from maskrcnn-benchmark. It is powered by the PyTorch deep learning framework. Includes more features such as panoptic segmentation, Densepose, Cascade R-CNN, rotated bounding boxes, PointRend, DeepLab, etc. -
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ESP8266 Deauther Version 2
Affordable WiFi hacking platform for testing and learning
Scan for WiFi devices, block selected connections, create dozens of networks and confuse WiFi scanners! Version 3 is in development. It is stable to use, but it is very different. It is command-line based, which allows it to offer not just more features, but make them more customizable. This software allows you to easily perform a variety of actions to test 802.11 wireless networks by using an inexpensive ESP8266 WiFi SoC (System On A Chip). The main feature, the deauthentication attack, is... -
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rax
A progressive React framework for building universal application
Ultra-lightweight, high-performance, easy-to-use front-end solution. One-time development and multi-terminal operation, liberating repetitive work, focusing on product logic, and improving development efficiency. The Rax 1.0 system provides a wealth of components and APIs to help business students quickly develop multi-terminal projects. Go Rax is a Rax 1.0 sample app, which is provided for Rax developers for reference and learning. Rax improves the product experience through a lighter core, progressive web applications, and server-side rendering. The out-of-the-box engineering, rich components and surrounding ecology, and one-time development and multi-end delivery help the developer complete his creativity. ... -
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libpython-clj
Python bindings for Clojure
libpython-clj is a deep interop library enabling you to load and use Python modules from within Clojure as if they were native namespaces—and even extend Python objects from Clojure. It bridges to the Python C API, preserving REPL‑based workflows. Bridge between JVM objects and Python objects easily; use Python in your Java and use some Java in your Python. Python objects are linked to the JVM GC such that when they are no longer reachable from the JVM, their references are released.... -
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raspberry-pi-os
Learning operating system development using Linux kernel and Raspberry
This project provides a step-by-step educational guide on building a simple operating system kernel entirely from scratch, specifically targeting the Raspberry Pi 3. The operating system, referred to as RPi OS, is inspired by the Linux kernel but remains intentionally minimal to focus on clarity and teaching fundamental OS concepts. Each lesson introduces a kernel feature and demonstrates its implementation within RPi OS, followed by a comparison to how the same concept is realized in the Linux kernel. ... -
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YOLO ROS
YOLO ROS: Real-Time Object Detection for ROS
This is a ROS package developed for object detection in camera images. You only look once (YOLO) is a state-of-the-art, real-time object detection system. In the following ROS package, you are able to use YOLO (V3) on GPU and CPU. The pre-trained model of the convolutional neural network is able to detect pre-trained classes including the data set from VOC and COCO, or you can also create a network with your own detection objects. The YOLO packages have been tested under ROS Noetic and... -
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PyTorch SimCLR
PyTorch implementation of SimCLR: A Simple Framework
...In situations like this, we take the models’ pre-trained weights, append a new classifier layer on top of it, and retrain the network. This is called transfer learning, and is one of the most used techniques in CV. Aside from a few tricks when performing fine-tuning (if the case), it has been shown (many times) that if training for a new task, models initialized with pre-trained weights tend to learn faster and be more accurate then training from scratch using random initialization. -
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gradslam
gradslam is an open source differentiable dense SLAM library
...Leveraging the automatic differentiation capabilities of computational graphs, gradSLAM enables the design of SLAM systems that allow for gradient-based learning across each of their components, or the system as a whole.
