Search Results for "machine" - Page 59
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Showing 4715 open source projects for "machine"
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TorchQuantum
A PyTorch-based framework for Quantum Classical Simulation
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing. -
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NvChad
Blazing fast Neovim config providing solid defaults and a beautiful UI
...Lazy loading is done 93% of the time meaning that plugins will not be loaded by default, they will be loaded only when required also at specific commands, events etc. This lowers the start time and it was like 0.07~ secs tested on an old Pentium machine 1.4ghz + 4gb ram & HDD. NvChad is supposed to be used with its starter config, so nvchad main repo ( this repo ) can be imported as a plugin via lazy's import feature and then you can easily use this repo's modules like autocmds etc. -
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Featureform
Turn your existing data infrastructure into a feature store
Featureform allows data scientists to define, manage, and serve machine learning features across your organization. The days of untitled_128.ipynb are over. Transformations, features, and training sets can be pushed from notebooks to a centralized feature repository with metadata like name, variant, lineage, and owner. Featureform's Virtual Feature Store architecture orchestrates your data infrastructure to build and maintain your training sets and production features. -
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Autodistill
Images to inference with no labeling
Autodistill uses big, slower foundation models to train small, faster supervised models. Using autodistill, you can go from unlabeled images to inference on a custom model running at the edge with no human intervention in between. You can use Autodistill on your own hardware, or use the Roboflow hosted version of Autodistill to label images in the cloud. -
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Skiplist-CPP
A tiny KV storage based on skiplist written in C++ language
...Beyond in-memory operations, it demonstrates persistence through data dump to disk and reload, turning the structure into a tiny embeddable database. Stress-test scripts and example binaries are provided so you can benchmark throughput and validate correctness on your own machine. This makes the repo valuable for learners studying database internals and for practitioners who want a starting point for an embedded KV engine or educational experiments. -
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TensorFlow Hub
A library for transfer learning by reusing parts of TensorFlow models
...These models can be loaded directly into TensorFlow pipelines and fine-tuned for new tasks using transfer learning techniques. The repository supports contributions from the community, allowing developers to submit models that become available for use by other machine learning practitioners. By enabling reusable model modules, TensorFlow Hub significantly reduces development time and computational cost when building machine learning systems. -
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MATLAB and Simulink for Students
An awesome list of helpful resources for students learning MATLAB
Are you a new MATLAB user seeking helpful tips and tricks? Are you a member of a student society in search of engaging workshops? Or perhaps you're looking for opportunities to test your MATLAB skills through student competitions or challenges? Look no further! Our awesome list repository below is a resource that caters to all these needs. Whether you're starting from scratch or aiming to enhance your existing knowledge, you'll find a wealth of information to help you learn MATLAB and make... -
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iced
Blazing fast and correct x86/x64 disassembler, assembler, decoder, etc
...It is commonly used in tools for debugging, reverse engineering, and binary analysis. Overall, iced provides a comprehensive solution for working with low-level machine code in modern software systems. -
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Curve
Curve is a sandbox project hosted by the CNCF Foundation
...Curve is a modern storage system developed by netease, currently supporting file storage(CurveFS) and block storage(CurveBS). Now it's hosted at CNCF as a sandbox project. The performance, mixed, capacity cloud disk or persistent volume of virtual machine/container, and remote disks of physical machines. High-performance separation of storage and computation architecture: high-performance and low latency architecture based on RDMA+SPDK, supporting the separation deployment structure of various databases such as MySQL and Kafka. -
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Textinator
Internationalized highly customizable annotation and evaluation tool
...Note that the production version is most definitely more secure and reliable than the development version. However, it's not extremely scalable and hosts both database and Textinator instances on the same machine. The ultimate solution would be to use something like Kubernetes, but it is currently not supported out of the box. -
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OnnxStream
Lightweight inference library for ONNX files, written in C++
The challenge is to run Stable Diffusion 1.5, which includes a large transformer model with almost 1 billion parameters, on a Raspberry Pi Zero 2, which is a microcomputer with 512MB of RAM, without adding more swap space and without offloading intermediate results on disk. The recommended minimum RAM/VRAM for Stable Diffusion 1.5 is typically 8GB. Generally, major machine learning frameworks and libraries are focused on minimizing inference latency and/or maximizing throughput, all of which at the cost of RAM usage. So I decided to write a super small and hackable inference library specifically focused on minimizing memory consumption: OnnxStream. OnnxStream is based on the idea of decoupling the inference engine from the component responsible for providing the model weights, which is a class derived from WeightsProvider. ... -
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dinrhiw2-180824-sync
Dinrhiw2 is open source machine learning library.
Dinrhiw2 is open source machine learning library. -
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A Virtual Machine based on a Simplified Instructional Computer (SIC). The Machine will emulate all the hardware of a SIC and will be able to run any program that is written for the SIC as described by Leland L.Beck in his book "System Software"
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Recurrent Interface Network (RIN)
Implementation of Recurrent Interface Network (RIN)
...The last ingredient seems to be a new noise function based around the sigmoid, which the author claims is better than cosine scheduler for larger images. The big surprise is that the generations can reach this level of fidelity. Will need to verify this on my own machine. Additionally, we will try adding an extra linear attention on the main branch as well as self-conditioning in the pixel space. The insight of being able to self-condition on any hidden state of the network as well as the newly proposed sigmoid noise schedule are the two main findings. -
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TinyWebServer
Web server framework for Linux
...It supports HTTP request parsing (GET and POST), serves static content (images, video files), integrates basic database-backed user registration/login, and implements synchronous/asynchronous logging systems. The project is often used by learners to practice network programming in C++ with high concurrency models. HTTP request parsing via a state machine capable of processing GET and POST. Tested under high concurrency (Webbench) to support tens of thousands of simultaneous connections. -
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SLOC
simple tool to count SLOC (source lines of code)
...The utility is language-aware through lightweight detectors and patterns, so it can ignore comments correctly and avoid counting generated or minified files if you configure it to. Output can be human-readable for quick checks or machine-readable (like JSON) for CI pipelines that track repository growth over time. It supports typical developer conveniences such as glob patterns, file/directory ignores, and sensible defaults so you can drop it into existing workflows without fuss. Teams often wire sloc into build steps to watch trends, compare modules, or enforce thresholds before merging changes, making it a handy maintenance metric rather than a vanity number. -
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Computer vision projects
computer vision projects | Fun AI projects related to computer vision
...Many of the projects illustrate how computer vision algorithms can interact with hardware platforms, including robotics systems and edge computing devices. The repository provides examples that combine machine learning models with real-world applications such as robotic arms, video analysis, and automated visual measurement systems. -
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ML YouTube Courses
Discover the latest machine learning / AI courses on YouTube
ML YouTube Courses is a curated index of high-quality machine learning and AI courses available on YouTube, designed to make open education easier to discover and navigate. The repository organizes lectures from top universities and educators into a structured list so learners can quickly find reputable material. It covers a wide range of topics including deep learning, NLP, probabilistic modeling, reinforcement learning, and computer vision. -
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Crow Translate
Lightweight translator that allows you to translate and speak text
Crow Translate is a simple and lightweight translator written in C++ / Qt that allows you to translate and speak text using Google, Yandex, Bing, LibreTranslate and Lingva translate API. You may also be interested in my library QOnlineTranslator used in this project. Wayland does not support global shortcuts registration, but you can use D-Bus to bind actions in the system settings. For desktop environments that support additional applications actions (KDE, for example) you will see them... -
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web3.php
A php interface for interacting with the Ethereum blockchain
...Assign a value to outside scope(from callback scope to outside scope) Due to the callback is not like a javascript callback, if we need to assign value to outside scope, we need to assign a reference to the callback. If you are using docker as a development machine, you can try ethdock to run local Ethereum blockchain, just simply run docker-compose up -d testrpc and expose the 8545 port. -
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Coq Jupyter
Jupyter kernel for Coq
Make sure that CoqIDE (8.6 or newer) is installed and coqidetop or coqidetop.opt (coqtop for Coq versions before 8.9.0) is in your PATH. Also, make sure the python command is recognized on your machine. If not you can set up an alias for it e.g. python-is-python3 on Ubuntu. There are a number of convenience improvements over standard Jupyter notebook behavior that are implemented to support Coq-specific use cases. -
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Pin Linux OS
A light version of Debian with minimal installed using LXDE.
... - If brightness keys do not work, open a terminal: sudo nano /etc/default/grub where GRUB_CMDLINE_LINUX_DEFAULT="xxxxx" put acpi_backlight=video or acpi_backlight=vendor try one or another and test which one fits your machine Ctrl + s Ctrl + x sudo update-grub - Automatic login: Menu > Preferences > LXDM configurator mark "Automatic login" and close - If you have problems to browser on the internet, try on terminal: sudo rm /etc/resolv.conf && sudo dhclient - Use Connman Settings to connect Wi-Fi -
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Sonnet
TensorFlow-based neural network library
Sonnet is a neural network library built on top of TensorFlow designed to provide simple, composable abstractions for machine learning research. Sonnet can be used to build neural networks for various purposes, including different types of learning. Sonnet’s programming model revolves around a single concept: modules. These modules can hold references to parameters, other modules and methods that apply some function on the user input. There are a number of predefined modules that already ship with Sonnet, making it quite powerful and yet simple at the same time. ... -
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ADAMS
ADAMS is a workflow engine for building complex knowledge workflows.
...Instead of placing operators on a canvas and manually connecting them, a tree structure and flow control operators determine how data is processed (sequentially/parallel). This allows rapid development and easy maintenance of large workflows, with hundreds or thousands of operators. Operators include machine learning (WEKA, MOA, MEKA) and image processing (ImageJ, JAI, BoofCV, LIRE and Gnuplot). R available using Rserve. WEKA webservice allows other frameworks to use WEKA models. Fast prototyping with Groovy and Jython. Read/write support for various databases and spreadsheet applications. -
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Critterding2
Evolving Artificial Life
