Search Results for "machine" - Page 78
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Showing 4715 open source projects for "machine"
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SharkLinux
Virtualization Focused OS & Cloud Compatible Desktop Environment
SharkLinux is a 64 bit Linux Desktop that specializes in virtualization. The OS is based on Ubuntu 20.04 and features a custom MATE/XFCE desktop capable of running on a cloud server with little impact on performance. The OS runs KVM as the primary hypervisor and provides a wide range of tools to build and run VM's and containers. SharkLinux has several distinct qualities from other Linux systems such as; automatic system upgrades, sudo users can run shell commands without a password.... -
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hora
Efficient approximate nearest neighbor search algorithm collections
hora is an open-source high-performance vector similarity search library designed for large-scale machine learning and information retrieval systems. The project focuses on approximate nearest neighbor search, a fundamental technique used in modern AI applications such as recommendation systems, image search, and semantic search engines. Hora implements multiple efficient indexing algorithms that allow systems to rapidly search through high-dimensional vectors produced by machine learning models. ... -
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MuJoCo-py
mujoco-py allows using MuJoCo from Python 3
mujoco-py is a Python wrapper for MuJoCo, a high-performance physics engine widely used in robotics, reinforcement learning, and AI research. It allows developers and researchers to run detailed rigid body simulations with contacts directly from Python, making MuJoCo easier to integrate into machine learning workflows. The library is compatible with MuJoCo version 2.1 and supports Linux and macOS, while Windows support has been deprecated. It provides utilities for loading models, running simulations, and accessing simulation states in real time, along with visualization tools for rendering environments. The project also includes interactive examples showcasing collision handling, texture randomization, state resetting, and robot control. ... -
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KohaVM_21_11
Koha21.11.01.00 Virtual Machine
Koha21.11.01.00 on Debian (10) Buster Oracle VirtualBox Virtual Machine, scalable with LVM file system configuration and full root and user credentials. -
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Ferret
Ferret is a web scraping system
Ferret is a web scraping system. It aims to simplify data extraction from the web for UI testing, machine learning, analytics and more. ferret allows users to focus on the data. It abstracts away the technical details and complexity of underlying technologies using its own declarative language. It is extremely portable, extensible, and fast. -
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C64 65XE NES Debugger
Commodore 64, Atari XL/XE and NES debugger that works in real time.
This is Commodore 64, Atari XL/XE and NES code and memory debugger that works in real time. It is quick prototyping tool where you can play with Commodore 64 machine and its internals. C64 Debugger embeds VICE v3.1 C64 emulation engine created by The VICE Team and Atari800 v3.1.0 emulation engine created by the Atari800 team. Please note that project has been renamed to Retro Debugger and moved to https://github.com/slajerek/RetroDebugger Contact me at slajerek@gmail.com -
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YOLOv4
PyTorch implementation of YOLOv4
...The repository supports common detection workflows such as dataset preparation, model training, evaluation, inference, and weight conversion. It is useful for developers who prefer the PyTorch ecosystem for experimentation, debugging, and integration with other machine learning tooling. The project also connects to the broader YOLOv4 family, including CSP-based architecture ideas and real-time detection improvements. It is best suited for researchers and engineers who want YOLOv4 behavior in a Python-first deep learning environment. -
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Trax
Deep learning with clear code and speed
Trax is an end-to-end library for deep learning that focuses on clear code and speed. It is actively used and maintained in the Google Brain team. Run a pre-trained Transformer, create a translator in a few lines of code. Features and resources, API docs, where to talk to us, how to open an issue and more. Walkthrough, how Trax works, how to make new models and train on your own data. Trax includes basic models (like ResNet, LSTM, Transformer) and RL algorithms (like REINFORCE, A2C, PPO). It... -
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Bareflank Hypervisor
lightweight hypervisor SDK written in C++
The Bareflank Hypervisor is an open source hypervisor Software Development Toolkit (SDK) for Rust and C++, led by Assured Information Security, Inc. (AIS), that provides the tools needed to rapidly prototype and create your own hypervisor on 64bit versions of Intel and AMD (ARMv8 CPUs, RISC-V and PowerPC also planned). The Bareflank SDK is intended for instructional/research purposes as it only provides enough virtualization support to start/stop a hypervisor. Bareflank can also be used as... -
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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Scikit-Optimize
Sequential model-based optimization with a `scipy.optimize` interface
Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements several methods for sequential model-based optimization. skopt aims to be accessible and easy to use in many contexts. The library is built on top of NumPy, SciPy and Scikit-Learn. -
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TorchGAN
Research Framework for easy and efficient training of GANs
The torchgan package consists of various generative adversarial networks and utilities that have been found useful in training them. This package provides an easy-to-use API which can be used to train popular GANs as well as develop newer variants. The core idea behind this project is to facilitate easy and rapid generative adversarial model research. TorchGAN is a Pytorch-based framework for designing and developing Generative Adversarial Networks. This framework has been designed to... -
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Deep Learning 500 Questions
500 Questions on Deep Learning using a question-and-answer format
...Edited by Tan Jiyong with contributions from Guo Zizhao, Li Jian, and Dian Songyi, the book systematically covers both theoretical foundations and practical applications of deep learning. The first sections focus on essential mathematics, machine learning basics, and deep learning foundations, establishing the groundwork for more advanced topics. Later chapters explore classic neural network structures such as CNNs, RNNs, and GANs, as well as key applications in computer vision like object detection and image segmentation. The resource also delves into optimization methods, including transfer learning, network architecture design, hyperparameter tuning, model compression, and acceleration techniques. -
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SciMLTutorials.jl
Tutorials for doing scientific machine learning (SciML)
SciMLTutorials.jl holds PDFs, webpages, and interactive Jupyter notebooks showing how to utilize the software in the SciML Scientific Machine Learning ecosystem. This set of tutorials was made to complement the documentation and the devdocs by providing practical examples of the concepts. For more details, please consult the docs. To view the SciML Tutorials, go to tutorials.sciml.ai. By default, this will lead to the latest tagged version of the tutorials -
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Test case generator
GUI based tool to generate test cases for competitive programmers
...The tool supports test cases for Array, String, Matrix, Graph and Palindrome. Installation - To run this tool, you will need JAVA JDK 8 or later version installed on your host machine. Download JAVA JDK 8 or above from here, if not already installed. - Download Test Case Generator - Double click the downloaded package to start the application. - For Linux/ Ubuntu make sure the package has execute permission; right click on the package, select properties, than select permissions tab and check Execute checkbox. ... -
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Pythonidae
Curated decibans of scientific programming resources in Python
Pythonidae is a curated collection of scientific programming resources in Python, designed to support research and development across a wide range of disciplines. The repository organizes tools and libraries into domain-specific categories, including mathematics, statistics, machine learning, artificial intelligence, biology, chemistry, physics, earth sciences, and supercomputing. It also covers practical areas such as build automation, databases, APIs, computer graphics, and utilities, offering a structured reference for both academic and applied work. While the primary focus is on Python, some entries also highlight resources implemented in other languages like Julia, R, Go, and Java. ... -
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...In addition to spectral similarity measures, Calibr provides other two types of features related to precursor ion and spectrum property and statistics from spectrum-spectrum matches (SSMs) for machine-learning based validation. To support users to conveniently conduct spectral library searching and validation, we have also implemented a GUI application, called CalibrWizard. It integrates Calibr and PercolatorTsvConverter, a conversion tool for converting Calibr's results into a tab-delimited format as input to Percolator, and can use the function of Percolator for validation. ...
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TensorFlow Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow Examples is a comprehensive repository of example implementations, tutorials, and reference code intended to help newcomers and intermediate learners dive into TensorFlow quickly. It contains both Jupyter notebooks and raw source code, covering a broad range of tasks: from basic machine-learning and neural-network models to more advanced use cases, using both TensorFlow v1 and v2 APIs. For clarity and educational value, each example is accompanied by explanatory comments or markdown cells to illustrate what the code does and why — a design that makes it especially suitable for self-learners or students following along with real data. ... -
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Aquila DB
An easy to use Neural Search Engine
...In other words, it is a database to index Latent Vectors generated by ML models along with JSON Metadata to perform k-NN retrieval. It is dead simple to set up, language-agnostic, and drop in addition to your Machine Learning Applications. Aquila DB, as of current features is a ready solution for Machine Learning engineers and Data scientists to build Neural Information Retrieval applications out of the box with minimal dependencies. -
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Machine-Learning
kNN, decision tree, Bayesian, logistic regression, SVM
Machine-Learning is a repository focused on practical machine learning implementations in Python, covering classic algorithms like k-Nearest Neighbors, decision trees, naive Bayes, logistic regression, support vector machines, linear and tree-based regressions, and likely corresponding code examples and documentation. It targets learners or practitioners who want to understand and implement ML algorithms from scratch or via standard libraries, gaining hands-on experience rather than relying solely on black-box frameworks. ... -
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VoiceFixer
General Speech Restoration
VoiceFixer is a machine-learning framework for “speech restoration”: given a degraded or distorted audio recording — with noise, clipping, low sampling rate, reverberation, or other artifacts — it attempts to recover high-fidelity, clean speech. The architecture works in two stages: first an analysis stage that tries to extract “clean” intermediate features from the noisy audio (e.g. removing noise, denoising, dereverberation, upsampling), and then a neural vocoder-based synthesis stage that reconstructs a high-quality waveform from those features. ... -
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The Time machine theme
Time machine is a Jekyll theme for GitHub Pages
Time machine is a Jekyll theme for GitHub Pages. You can preview the theme to see what it looks like, or even use it today. -
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Argos Translate
Open-source offline translation library written in Python
Argos Translate uses OpenNMT for translations and can be used as either a Python library, command-line, or GUI application. Argos Translate supports installing language model packages which are zip archives with a ".argosmodel" extension containing the data needed for translation. LibreTranslate is an API and web-app built on top of Argos Translate. Argos Translate also manages automatically pivoting through intermediate languages to translate between languages that don't have a direct... -
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MTBook
Machine Translation: Foundations and Models
This is a tutorial, the purpose is to introduce the basic knowledge and modeling methods of machine translation systematically, and on this basis, discuss some cutting-edge technologies of machine translation (formerly known as "Machine Translation: Statistical Modeling and Deep Learning") method"). Its content is compiled into a book, which can be used for the study of senior undergraduates and graduate students in computer and artificial intelligence related majors, and can also be used as reference material for researchers related to natural language processing, especially machine translation. ... -
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Scala3Lab
A MATLAB like environment for Scala 3
The Scala3Lab project aims to provide an efficient scientific programming environment for the Java Virtual Machine. The scripting language is based on the Scala3 programming language enhanced with high level scientific operators and with an integrated environment that provides a MATLAB-like working style. Also, all the huge libraries of Java scientific code can be easily accessible (and many times with a more convenient syntax). The main potential of the Scala3Lab is numerical code speed and flexibility. ... -
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TensorNetwork
A library for easy and efficient manipulation of tensor networks
TensorNetwork is a high-level library for building and contracting tensor networks—graphical factorizations of large tensors that underpin many algorithms in physics and machine learning. It abstracts networks as nodes and edges, then compiles efficient contraction orders across multiple numeric backends so users can focus on model structure rather than index bookkeeping. Common network families (MPS/TT, PEPS, MERA, tree networks) are expressed with concise APIs that encourage experimentation and comparison. ...
