Search Results for "q-learning" - Page 11
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Showing 3518 open source projects for "q-learning"
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Monitor the status and performance of any IT environment with NMISTrusted by thousands of IT teams worldwide, The NMIS platform offers comprehensive network management, handling faults, performance, and configurations with ease.
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Secure remote access solution to your private network, in the cloud or on-prem.OpenVPN is here to bring simple, flexible, and cost-effective secure remote access to companies of all sizes, regardless of where their resources are located.
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Gideros
Gideros Release version
Gideros is a cross-platform development environment for creating amazing games and interactive applications in 2D or 3D. It is easy to pick up, quick to develop, and robust to deploy. Code your game once and deploy it to Android, iOS, MacOS, tvOS, Windows, HTML 5, and more. Apart from supporting multiple platforms, Gideros also provides automatic screen scaling and automatic selection of proper image resolution, which makes supporting different screen resolutions, aspect ratios, and... -
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KubeEdge
Kubernetes Native Edge Computing Framework (project under CNCF)
KubeEdge is built upon Kubernetes and extends native containerized application orchestration and device management to hosts at the Edge. It consists of a cloud part and an edge part, and provides core infrastructure support for networking, application deployment, and metadata synchronization between the cloud and edge. It also supports MQTT which enables edge devices to access through edge nodes. With KubeEdge it is easy to get and deploy existing complicated machine learning, image recognition... -
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SurvivalManual
Libre Survival Manual for Android with offline in mind
This is a survival manual/guide based on the public domain US Army Survival Field Manual FM 3-05.70 (FM 21-76). It is fully functional offline, which is important in the case of a catastrophe. But it doesn't have to be used only in emergency situations, it can also be useful for outdoor trips, walks, camps, and learning about nature and yourself truly. This is not only fun, but you can also train skills (fire, build shelter, ...) that you may need in a catastrophe. Some things work best... -
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H2O LLM Studio
Framework and no-code GUI for fine-tuning LLMs
Welcome to H2O LLM Studio, a framework and no-code GUI designed for fine-tuning state-of-the-art large language models (LLMs). You can also use H2O LLM Studio with the command line interface (CLI) and specify the configuration file that contains all the experiment parameters. To finetune using H2O LLM Studio with CLI, activate the pipenv environment by running make shell. With H2O LLM Studio, training your large language model is easy and intuitive. First, upload your dataset and then start... -
Secure User Management, Made Simple | FronteggFrontegg powers modern businesses with a user management platform that’s fast to deploy and built to scale. Embed SSO, multi-tenancy, and a customer-facing admin portal using robust SDKs and APIs – no complexity required. Designed for the Product-Led Growth era, it simplifies setup, secures your users, and frees your team to innovate. From startups to enterprises, Frontegg delivers enterprise-grade tools at zero cost to start. Kick off today.
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Ayakashi
The next generation web scraping framework
The next-generation web scraping framework. The web has changed. Gone are the days when raw HTML parsing scripts were the proper tool for the job. Javascript and single-page applications are now the norms. Demand for data scraping and automation is higher than ever, from business needs to data science and machine learning. Our tools need to evolve. Ayakashi helps you build scraping and automation systems that are easy to build simple or sophisticated, highly performant, maintainable, and built... -
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AI Upscaler for Blender
AI Upscaler for Blender using Real-ESRGAN
... on the CPU. Blender renders a low-resolution image. The Real-ESRGAN Upscaler upscales the low-resolution image to a higher-resolution image. Real-ESRGAN is a deep learning upscaler that uses neural networks to achieve excellent results by adding in detail when it upscales. -
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PyBoy
Game Boy emulator written in Python
It is highly recommended to read the report to get a light introduction to Game Boy emulation. But do be aware, that the Python implementation has changed a lot. The report is relevant, even though you want to contribute to another emulator or create your own. If you are looking to make a bot or AI, you can find all the external components in the PyBoy Documentation. There is also a short example on our Wiki page Scripts, AI and Bots as well as in the examples directory. If more features are... -
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ergo
Framework for creating microservices using technologies of Erlang/OTP
Technologies and design patterns of Erlang/OTP have been proven over the years. Now in Golang. Up to x5 times faster than original Erlang/OTP in terms of network messaging. The easiest way to create an OTP-designed application in Golang. The goal of this project is to leverage Erlang/OTP experience with Golang performance. The ideal framework for creating complex and distributed solutions (machine learning, data processing pipeline, etc.) being simple and reliable. You don't have to reinvent... -
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awesome-single-cell
Community-curated list of software packages and data resources
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc. List of software packages (and the people developing these methods) for single-cell data analysis, including RNA-seq, ATAC-seq, etc. Rapid, accurate and memory-frugal preprocessing of single-cell and single-nucleus RNA-seq data. Find bimodal, unimodal, and multimodal features in your data. Ascend is an R package comprised of fast, streamlined analysis functions optimized to... -
Hackers Hate This: Free WAF for Dummies eBookUnveil the ultimate guide to Web Application Firewalls (WAFs). Packed with expert tips, real-world solutions, and step-by-step strategies, this eBook from F5 empowers you to shield your web apps and APIs from today’s toughest threats. Don’t wait for a breach – grab your free copy now and fortify your defenses today!
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AWS Toolkit for Visual Studio Code
Local Lambda debug, CodeWhisperer, SAM/CFN syntax, etc.
... Explorer when the AWS icon is selected in the Activity bar. The AWS CDK Explorer enables you to work with AWS Cloud Development Kit (CDK) applications. It shows a top-level view of your CDK applications that have been synthesized in your workspace. Amazon CodeWhisperer provides inline code suggestions using machine learning and natural language processing on the contents of your current file. Supported languages include Java, Python and Javascript. -
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dasel
Select, put and delete data from JSON, TOML, YAML, XML and CSV files
Dasel (short for data-selector) allows you to query and modify data structures using selector strings. Say goodbye to learning new tools just to work with a different data format. Dasel uses a standard selector syntax no matter the data format. This means that once you learn how to use dasel you immediately have the ability to query/modify any of the supported data types without any additional tools or effort. Dasel can be imported and used just like any other go package. This can be very... -
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MudBlazor
Do more with Blazor, utilizing CSS and keeping Javascript to a minimum
Trusted by thousands of users, from hobby developers to large enterprises. Use MudBlazor to rapidly build amazing web applications without leaving your loved C# language and toolchain. We bring together everything that's required to build amazing Blazor applications that scale from desktop to mobile. Apart from the library itself we also provide templates, a learning platform, theme manager, demo and example projects as well as an online code editor integrated with our documentation and issue... -
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QuestDB
An open source SQL database designed to process time series data
QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports. QuestDB implements ANSI SQL with native extensions for time-oriented language features. These extensions make it simple to correlate data from multiple sources using... -
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ArrayFire
ArrayFire, a general purpose GPU library
ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Data structures in ArrayFire are smartly managed to avoid costly memory transfers and to take advantage of each performance feature provided by the underlying hardware. The community of ArrayFire developers invites you to build with us if... -
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Ansible Automation Platform Workshops
Training course for Ansible automation platform
The Red Hat Ansible Automation Workshops project is intended for effectively demonstrating Ansible's capabilities through instructor-led workshops or self-paced exercises. These interactive learning scenarios provide you with a pre-configured Ansible Automation Platform environment to experiment, learn, and see how the platform can help you solve real-world problems. The environment runs entirely in your browser, enabling you to learn more about our technology at your pace and time. The demos... -
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Litmus
Litmus helps SREs and developers practice chaos engineering
LitmusChaos is an open source Chaos Engineering platform that enables teams to identify weaknesses & potential outages in infrastructures by inducing chaos tests in a controlled way. Developers & SREs can practice Chaos Engineering with Litmus as it is easy to use, based on modern chaos engineering principles & community collaboration. It is 100% open source & a CNCF project. Litmus takes a cloud-native approach to create, manage and monitor chaos. The platform itself runs as a set of... -
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Dotty
The scala 3 compiler, also known as Dotty
... is to some degree) to provide users with a small set of powerful features that can be combined to great (and sometimes even unforeseen) expressivity. For example, the feature of implicits has been used to model contextual abstraction, to express type-level computation, model type-classes, perform implicit coercions, encode extension methods, and many more. Learning from these use cases, Scala 3 takes a slightly different approach and focuses on intent rather than mechanism. -
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Leiningen
Automate Clojure projects easily
Leiningen is the easiest way to use Clojure. With a focus on project automation and declarative configuration, it gets out of your way and lets you focus on your code. Leiningen and Clojure require Java. OpenJDK version 8 is recommended at this time. If you have Leiningen installed, you can read the tutorial by running lein help tutorial. It does not cover learning the language itself; good Clojure documentation can be found elsewhere. If your preferred package manager offers a recent version... -
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Deployer
Deployment tool with support for popular frameworks out of the box
A deployment tool written in PHP with support for popular frameworks out of the box. Deployer is a cli tool for deployment of any PHP applications, including frameworks such as Laravel, Symfony, Zend Framework and many more. Main concept of Deployer is recipe, a php file containing tasks definitions. Recipe can require other recipes and extend/ override functionality. Also Deployer comes with bunch of ready to use recipes from community for Slack, etc. Deployer can be easily installed via... -
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Luigi
Python module that helps you build complex pipelines of batch jobs
... jobs, dumping data to/from databases, running machine learning algorithms, or anything else. You can build pretty much any task you want, but Luigi also comes with a toolbox of several common task templates that you use. It includes support for running Python mapreduce jobs in Hadoop, as well as Hive, and Pig, jobs. It also comes with file system abstractions for HDFS, and local files that ensures all file system operations are atomic. -
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rustlings
Small exercises to get you used to reading and writing Rust code
This project contains small exercises to get you used to reading and writing Rust code. This includes reading and responding to compiler messages! Alternatively, for a first-time Rust learner, there are several other resources, like The Book, which is the most comprehensive resource for learning Rust, but a bit theoretical sometimes. You will be using this along with Rustlings! And also, Rust By Example, to learn Rust by solving little exercises! It's almost like rustlings, but online. You... -
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PyTorch Lightning
The lightweight PyTorch wrapper for high-performance AI research
.... When you need to scale up things like BERT and self-supervised learning, Lightning responds accordingly by automatically exporting to ONNX or TorchScript. PyTorch Lightning can easily be applied for any use case. With just a quick refactor you can run your code on any hardware, run distributed training, perform logging, metrics, visualization and so much more! -
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Dungeon Crawl: Stone Soup
A game of dungeon exploration, combat and magic
An open source roguelike adventure through dungeons filled with dangerous monsters in a quest to find the mystifyingly fabulous Orb of Zot. Crawl may seem easier than many other roguelikes at first glance, but dig a little deeper and you'll find it's just as challenging as some of the most difficult variations out there and a good deal harder than the rest. A strong set of design philosophies makes it much friendlier (and generally fairer) to the player - deaths are a learning experience... -
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dfdx
Deep learning in Rust, with shape checked tensors and neural networks
Deep learning in Rust, with shape-checked tensors and neural networks. Ergonomics & safety focused deep learning in Rust. -
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MLJ.jl
A Julia machine learning framework
MLJ (Machine Learning in Julia) is a toolbox written in Julia providing a common interface and meta-algorithms for selecting, tuning, evaluating, composing, and comparing about 200 machine learning models written in Julia and other languages. The functionality of MLJ is distributed over several repositories illustrated in the dependency chart below. These repositories live at the JuliaAI umbrella organization.