Search Results for "beatbox loop machine"
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Showing 32 open source projects for "beatbox loop machine"
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Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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1
Giada
Your Hardcore Loop Machine.
Giada is an open-source, minimalistic and hardcore music production tool. Designed for DJs, live performers, and electronic musicians. Build your performance in real time by layering audio tracks or MIDI events, driven by the main sequencer. Load samples from your crates and play them with a computer keyboard or a MIDI controller. Write songs from scratch or edit existing live recordings with the powerful Action Editor, for fine-tuned control. Record sounds from the real world and MIDI... -
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PyKEEN
A Python library for learning and evaluating knowledge graph embedding
PyKEEN (Python KnowlEdge EmbeddiNgs) is a Python package designed to train and evaluate knowledge graph embedding models (incorporating multi-modal information). PyKEEN is a Python package for reproducible, facile knowledge graph embeddings. PyKEEN has a function pykeen.env() that magically prints relevant version information about PyTorch, CUDA, and your operating system that can be used for debugging. If you’re in a Jupyter Notebook, it will be pretty-printed as an HTML table. -
3
plexe
Build a machine learning model from a prompt
...The project supports both a Python library and a managed cloud option, meeting teams wherever they prefer to run workloads. The overall goal is to compress the path from idea to usable model while keeping humans in the loop for review and adjustment. -
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NannyML
Detecting silent model failure. NannyML estimates performance
...Built for data scientists, NannyML has an easy-to-use interface, and interactive visualizations, is completely model-agnostic, and currently supports all tabular classification use cases. NannyML closes the loop with performance monitoring and post deployment data science, empowering data scientist to quickly understand and automatically detect silent model failure. By using NannyML, data scientists can finally maintain complete visibility and trust in their deployed machine learning models. When the actual outcome of your deployed prediction models is delayed, or even when post-deployment target labels are completely absent, you can use NannyML's CBPE-algorithm to estimate model performance. -
Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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Telepresence
Local development against a remote Kubernetes or OpenShift cluster
Kubernetes was supposed to make your team faster, but now everytime you make a code change you have to wait for containers to build, be pushed to registry, and deployed. With Telepresence, you can make changes to your service as if you're developing locally, without having to run all the dependencies on your local machine. You want to catch errors before they get shipped to production, but to do that you need a realistic development environment and with Kubernetes, those can be expensive.... -
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GoNB
GoNB, a Go Notebook Kernel for Jupyter
Go is a compiled language, but with very fast compilation, that allows one to use it in a REPL (Read-Eval-Print-Loop) fashion, by inserting a "Compile" step in the middle of the loop -- so it's a Read-Compile-Run-Print-Loop — while still feeling very interactive. GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. As a side benefit it works with packages that use CGO — although it won't parse C code in the cells, so it can't be used as a C kernel. ... -
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TensorFlow Model Garden
Models and examples built with TensorFlow
The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users can take full advantage of TensorFlow for their research and product development. To improve the transparency and reproducibility of our models, training logs on TensorBoard.dev are also provided for models to the extent possible though not all models... -
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PML
The easiest way to use deep metric learning in your application
This library contains 9 modules, each of which can be used independently within your existing codebase, or combined together for a complete train/test workflow. To compute the loss in your training loop, pass in the embeddings computed by your model, and the corresponding labels. The embeddings should have size (N, embedding_size), and the labels should have size (N), where N is the batch size. The TripletMarginLoss computes all possible triplets within the batch, based on the labels you... -
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LoopVectorization.jl
Macro(s) for vectorizing loops
LoopVectorization.jl is a Julia package for accelerating numerical loops by automatically applying SIMD (Single Instruction, Multiple Data) vectorization and other low-level optimizations. It analyzes loops and generates highly efficient code that leverages CPU vector instructions, making it ideal for performance-critical computing in fields such as scientific computing, signal processing, and machine learning. -
Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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Nocalhost
Nocalhost is Cloud Native Dev Environment
The term Nocalhost originates from No Local, which is a cloud-native development tool based on IDE, and provides realtime cloud-native application developing experience. When developing a cloud-based application in Nocalhost, any code changes can immediately take effects in the remote side, and there is no need to rebuild a new image. This can shorten the entire development feedback loop and massively improve R&D efficiency. -
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High-Level Training Utilities Pytorch
High-level training, data augmentation, and utilities for Pytorch
Contains significant improvements, bug fixes, and additional support. Get it from the releases, or pull the master branch. This package provides a few things. A high-level module for Keras-like training with callbacks, constraints, and regularizers. Comprehensive data augmentation, transforms, sampling, and loading. Utility tensor and variable functions so you don't need numpy as often. Have any feature requests? Submit an issue! I'll make it happen. Specifically, any data augmentation, data... -
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Deep-Learning-Interview-Book
Interview guide for machine learning, mathematics, and deep learning
Deep-Learning-Interview-Book collects structured notes, Q&A, and concept summaries tailored to deep-learning interviews, turning scattered study into a coherent playbook. It spans the core math (linear algebra, probability, optimization) and the practitioner topics candidates actually face, like CNNs, RNNs/Transformers, attention, regularization, and training tricks. Explanations emphasize intuition first, then key formulas and common pitfalls, so you can reason through unseen questions... -
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Stremio Core
Types, addon system, UI models, core logic
Stremio Core is the Rust engine that powers Stremio’s apps by centralizing all reusable logic behind discovery, catalogs, metadata, streams, add-ons, and user/library state. It exposes a clean set of modules—types, addon_transport, and state_types—so apps can talk to add-ons, model UI state, and react to events without duplicating code. The architecture is inspired by Elm: immutable state, message-driven updates, and explicit side-effects (“effects”) keep behavior predictable and testable.... -
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StrumPract
Various tools for musicians.
StrumPract is various tools for musicians. Like: - Learn to play drums set in 4 lessons and develop your art. - Practice your other instruments with a editable drums machine. - Tune your guitar and bass. - Play audio files and loop it, adjusting the tempo of the song to what you want. - DJ console for auto-mixing, with 2 players and direct-output of mic. - Record your ideas-jam. - Chords randomizer for jamming. - Image Dancer. - Tag infos with images. - Many Layout and Styles. -
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XBNF
(X)BNF simple and clever translation grammar compiler
XBNF Neurotranslator is a powerfull extended BNF grammar language to handle translations. XBNF comes with many features to handle different kind of situations. See [Files] to get the xbnf command binaries among architectures. Blog with all ressources (DockerHub images, documentations, ...): https://damolab.zapto.org/xbnf/ Seek library to get a full set of grammar examples: https://sourceforge.net/projects/xbnf/ -
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Ring
Simple and flexible programming language for applications development
The Ring is a practical general-purpose multi-paradigm language. The supported programming paradigms are imperative, procedural, object-oriented, declarative using nested structures, functional, meta programming and natural programming. The language is portable (MS-DOS, Windows, Linux, macOS, Android, WebAssembly, Microcontrollers, etc.) and can be used to create Console, GUI, Web, Games and Mobile applications. The language is designed to be simple, small and flexible. Ring is... -
17
bctl
1-wire based boiler/DHW/distribution heating system controller
bctl is a C++ state-machine based boiler controller utilizing a 1-Wire bus for sensors and I/O. It implements a multi-loop circulation/distribution controller targeting a dual boiler system for combined wood/fuel based heating. The wood fired boiler system utilizes hot water thermal storage and indirect heating of domestic hot water during firing. It includes provision for dumping excess heat to the distribution system, as well as provision for heat recovery during a cool-down cycle. ... -
18
AirSim
A simulator for drones, cars and more, built on Unreal Engine
AirSim is an open-source, cross platform simulator for drones, cars and more vehicles, built on Unreal Engine with an experimental Unity release in the works. It supports software-in-the-loop simulation with popular flight controllers such as PX4 & ArduPilot and hardware-in-loop with PX4 for physically and visually realistic simulations. It is developed as an Unreal plugin that can simply be dropped into any Unreal environment. AirSim's development is oriented towards the goal of creating a... -
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Catalyst
Accelerated deep learning R&D
Catalyst is a PyTorch framework for accelerated Deep Learning research and development. It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make... -
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Mini Mouse Macro
Light weight mouse and keyboard macro recording machine
Mini Mouse Macro is a great free mouse and keyboard recording macro. Mini Mouse Macro if different to other mouse macro's out there because it can actively record your mouse movements, clicks and keys. Lower standard macro's require you to actually enter the x and y position of your mouse and then ask you what to do.....Mini Mouse Macro recorder takes it to the next level by recording your actions in real time. Another great feature of Mini Mouse Macro is the ability to save your... -
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IntrOS
Free cooperative operating system designed for microcontrollers
Free, simple and tiny cooperative operating system (OS) designed for deeply embedded applications. Target: ARM Cortex-M, STM8, AVR8. It was inspired by the concept of a state machine. Procedure executed by the task (task state) doesn't have to be noreturn-type. It will be executed into an infinite loop. There's a dedicated function for immediate change the task state. -
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StateOS
Free real-time operating system designed for microcontrollers
Free, extremely simple, amazingly tiny and very fast real-time operating system (RTOS) designed for deeply embedded applications. Target: ARM Cortex-M, STM8. It was inspired by the concept of a state machine. Procedure executed by the task (task state) doesn't have to be noreturn-type. It will be executed into an infinite loop. There's a dedicated function for immediate change the task state. -
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Java Game Development (Ninja Girl)
Example code for creating a 2D platform game in Java.
!Help Wanted! See Discussions for more details. A platform game demonstrating concepts for 2D platform game creation in Java. Collect the stars and go through the door to advance levels. Graphics courtesy of: https://www.gameart2d.com https://opengameart.org/content/animated-fire https://craftpix.net Levels created using https://www.mapeditor.org/ Project created in the Eclipse Java IDE. Keys: Up, Down, Left, Right - Move Player Space - Jump M - Throw Kunai Q, A - Scroll... -
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PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data
PyTorch-BigGraph (PBG) is a system for learning embeddings on massive graphs—think billions of nodes and edges—using partitioning and distributed training to keep memory and compute tractable. It shards entities into partitions and buckets edges so that each training pass only touches a small slice of parameters, which drastically reduces peak RAM and enables horizontal scaling across machines. PBG supports multi-relation graphs (knowledge graphs) with relation-specific scoring functions,... -
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Tiramisu
Polyhedral compiler for expressing fast and portable data algorithms
...It provides a simple C++ API for expressing algorithms (Tiramisu expressions) and how these algorithms should be optimized by the compiler. Tiramisu can be used in areas such as linear and tensor algebra, deep learning, image processing, stencil computations and machine learning. The Tiramisu compiler is based on the polyhedral model thus it can express a large set of loop optimizations and data layout transformations. Currently, it targets (1) multicore X86 CPUs, (2) Nvidia GPUs, (3) Xilinx FPGAs (Vivado HLS) and (4) distributed machines (using MPI). It is designed to enable easy integration of code generators for new architectures.
