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Showing 99 open source projects for "visualboyadvance-m"
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ML.NET
Open source and cross-platform machine learning framework for .NET
With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps. ML.NET offers Model Builder (a simple UI tool) and ML.NET CLI to make it super easy to build custom ML Models. These tools use Automated ML (AutoML), a cutting edge technology that... -
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Best-of Machine Learning with Python
A ranked list of awesome machine learning Python libraries
This curated list contains 900 awesome open-source projects with a total of 3.3M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome! General-purpose machine learning and deep learning... -
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SuiteSparse
The official SuiteSparse library: a suite of sparse matrix algorithms
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University. -
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Lightweight ring buffer manager
Lightweight generic ring buffer manager library
The library provides generic FIFO ring buffer implementation. -
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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AutoKeras
AutoML library for deep learning
AutoKeras: An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras is to make machine learning accessible to everyone. AutoKeras only support Python 3. If you followed previous steps to use virtualenv to install tensorflow, you can just activate the virtualenv. Currently, AutoKeras is only compatible with Python >= 3.7 and TensorFlow >= 2.8.0. AutoKeras supports several tasks with extremely simple interface. -
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Fast Android Networking
A Complete Fast Android Networking Library that also supports HTTP/2
...Fast Android Networking Library takes care of each and everything. So you don't have to do anything, just make a request and listen for the response. The recent removal of HttpClient in Android Marshmallow(Android M) made other networking libraries obsolete. No other single library does and everything like making requests, downloading any type of file, uploading file, loading images from the network in ImageView, etc. There are some libraries but they are outdated. No other library provides a simple interface for doing all types of things in networking like setting priority, canceling, etc. ... -
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Vis
A vi-like editor based on Plan 9's structural regular expressions
Vis aims to be a modern, legacy-free, simple yet efficient editor, combining the strengths of both vi(m) and sam. It extends vi's modal editing with built-in support for multiple cursors/selections and combines it with sam's structural regular expression-based command language. A universal editor, it has decent Unicode support and should cope with arbitrary files, including large, binary, or single-line ones. Efficient syntax highlighting is provided using Parsing Expression Grammars, which can be conveniently expressed using Lua in the form of LPG. ... -
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MBeautifier
MBeautifier is a MATLAB source code formatter, beautifier
MBeautifier is a lightweight M-Script-based MATLAB source code formatter usable directly in the MATLAB Editor. -
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statsmodels
Statsmodels, statistical modeling and econometrics in Python
...Markov switching models (MSAR), also known as Hidden Markov Models (HMM). Vector autoregressive models, VAR and structural VAR. Vector error correction model, VECM. Robust linear models with support for several M-estimators. statsmodels supports specifying models using R-style formulas and pandas DataFrames. -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Shifu
Kubernetes-native IoT gateway
Shifu is a Kubernetes native, production-grade, protocol & vendor agnostic IoT gateway. Developing your application while managing your devices, spares the need for maintaining an additional O&M infrastructure. No vendor lock-in. You can easily deploy Shifu on the edge(from RaspberryPi to edge clusters) or on the cloud(public, private, and hybrid cloud are all supported). HTTP, MQTT, RTSP, Siemens S7, TCP socket, OPC UA...The microservice architecture of Shifu enables it to quickly adapt to new protocols. Kubernetes pod as well as the atomic unit of Shifu. ... -
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ali
Generate HTTP load and plot the results in real-time
Generate HTTP load and plot the results in real-time. A load testing tool capable of performing real-time analysis, inspired by vegeta and jplot. ali comes with an embedded terminal-based UI where you can plot the metrics in real-time, so lets you perform real-time analysis on the terminal. Press l (or h) to switch the displayed chart. On all charts, you can click and drag to select a region to zoom into. -
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Robot Framework
Generic automation framework for acceptance testing and RPA
Robot Framework is a generic open source automation framework. It can be used for test automation and robotic process automation (RPA). Robot Framework is supported by Robot Framework Foundation. Many industry-leading companies use the tool in their software development. Robot Framework is open and extensible. Robot Framework can be integrated with virtually any other tool to create powerful and flexible automation solutions. Robot Framework is free to use without licensing costs. Robot... -
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PRML
PRML algorithms implemented in Python
PRML repository is a respected and well-maintained project that implements the foundational algorithms from the famous textbook Pattern Recognition and Machine Learning by Christopher M. Bishop, providing a practical and accessible Python reference for both students and professionals. Rather than just summarizing concepts, the repository includes working code that demonstrates linear regression and classification, kernel methods, neural networks, graphical models, mixture models with EM algorithms, approximate inference, and sequential data methods — all following the book’s structure and notation. ... -
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Fetch for Android
The best file downloader library for Android
...If you are saving downloads outside of your application's sandbox, you will need to add the following storage permissions to your application's manifest. For Android SDK version 23(M) and above, you will also need to explicitly request these permissions from the user. Continuous downloading in the background. Concurrent downloading support. Ability to pause and resume downloads. Set the priority of a download. Network-specific downloading support. Ability to retry failed downloads. Ability to group downloads. Easy progress and status tracking. ... -
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Unsloth-MLX
Bringing the Unsloth experience to Mac users via Apple's MLX framework
...This project removes traditional barriers that prevent Mac users from prototyping and experimenting with LLM training locally by allowing the same code used in cloud GPU environments to run on M-series hardware, improving workflow continuity and reducing iteration costs. It supports loading and training Hugging Face models with fine-tuning strategies like SFT, DPO, ORPO, and GRPO and even handles exporting models to formats like GGUF for downstream use, although some limitations apply with quantized models. Users can write and test training pipelines directly on macOS before scaling up, accelerating development cycles and lowering entry barriers for model refinement. -
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tqdm
A Fast, Extensible Progress Bar for Python and CLI
...Simply wrap any iterable with tqdm(iterable), and sit back and watch that progress meter go! tqdm can be wrapped around any iterable, or executed as a module with pipes. Just by inserting tqdm (or python -m tqdm) between pipes will pass through all stdin to stdout while printing progress to stderr. tqdm does not require any dependencies, has a very low overhead and uses smart algorithms to predict the remaining time and skip unnecessary iteration displays. It works on just about any platform, console or in a GUI, as well as IPython/Jupyter notebooks. -
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GopherJS
Compiler from Go to JavaScript for running Go code in a browser
GopherJS compiles Go code to pure JavaScript code. Its main purpose is to give you the opportunity to write front-end code in Go which will still run in all browsers. Nearly everything is supported, including Goroutines (compatibility documentation). Performance is quite good in most cases, see HTML5 game engine benchmark. Cgo is not supported. GopherJS requires Go 1.16 or newer. If you need an older Go version, you can use an older Gopher release. GopherJS uses your platform's default GOOS... -
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Laravel IDE Helper Generator
Complete PHPDocs, directly from the source
...Some classes need a working database connection. If you do not have a default working connection, some facades will not be included. You can use an in-memory SQLite driver by adding the -M option. If you need additional information on your model from sources that are not handled by default, you can hook in to the generation process with model hooks to add extra information on the fly. -
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Bloom filters
Go package implementing Bloom filters
A Bloom filter is a concise/compressed representation of a set, where the main requirement is to make membership queries; i.e., whether an item is a member of a set. A Bloom filter will always correctly report the presence of an element in the set when the element is indeed present. A Bloom filter can use much less storage than the original set, but it allows for some 'false positives': it may sometimes report that an element is in the set whereas it is not. When you construct, you need to... -
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KPermissions
A Kotlin library which helps to request runtime permissions in Android
An Android library is totally written in Kotlin that helps to request runtime permissions. This library is compatible also with Android M (API 23) where runtime permissions don't exist, so you have to handle them separately. To discover all the APIs of this library, check the wiki. It contains some useful notes and advanced features not explained in the README. For further samples, check the sample provided by this library. It shows how to integrate this library and request permissions from an Activity or a Fragment. -
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Mecrisp - A family of optimising native code Forth implementations for MSP430, ARM Cortex M, RISC-V RV32IM(C), MIPS M4K and FPGAs.
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QP Real-Time Event Frameworks & Tools
Real-Time Event Frameworks based on active objects & state machines
...The frameworks contain a selection of built-in real-time kernels (RTOS kernels), such as the cooperative QV kernel, the preemptive non-blocking QK kernel, and the unique preemptive, dual-mode (blocking/non-blocking) QXK kernel. Native QP ports and ready-to-use examples are provided for ARM Cortex-M (M0/M0+/M3/M4/M7/M33/...) as well as other CPUs. The QP RTEFs can also work with many traditional RTOSes and General-Purpose OSes, such as Linux and Windows. -
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neural-amp-central
Windows desktop application to manage/train neural network amplifier m
This software manages your neural network amplifier model needs in a graphical user insterface. Installation of plugins for your DAWs, model training software, launching the training apps, etc. etc. NAM and more to come. Fully based on free and open-source software. Portable install for Windows. Keeps away the command line hassle! -
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HacktoberFest 2023
Hacktoberfest OPEN FIRST Pull Request
This repository is not eligible for Hacktoberfest. If you're looking for a repository to contribute to and participate in Hacktoberfest, please check out our new repository to make your contributions count. -
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emacs-async
Simple library for asynchronous processing in Emacs
async.el is a module for doing asynchronous processing in Emacs. Some async applications are provided as well with this package. You can install emacs-async package from MELPA using package.el. You can also install from sources, in this case you should install using make and make install to ensure emacs-async is installed in a standard load-path destination where other packages can find it easily when compiling.
