Search Results for "parallel" - Page 22
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Showing 1481 open source projects for "parallel"
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VITS
Conditional Variational Autoencoder with Adversarial Learning
...Unlike traditional two-stage systems that separately train an acoustic model and a vocoder, VITS trains an end-to-end model that maps text directly to waveform using a conditional variational autoencoder combined with normalizing flows and adversarial training. This architecture enables parallel generation (fast inference) while achieving speech quality that rivals or surpasses many two-stage systems. The repository provides training and inference pipelines for common datasets such as LJ Speech (single-speaker) and VCTK (multi-speaker), including filelists, configs, and preprocessing scripts. It also includes monotonic alignment search code and g2p preprocessing, which are crucial components for aligning text and speech in an end-to-end setup. -
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streamsupport
Backport of Java 8/9 java.util.stream API to Java 6/7 and Android
This project has moved to GitHub: https://github.com/stefan-zobel/streamsupport streamsupport is a backport of the Java 8 java.util.function (functional interfaces) and java.util.stream (streams) API for users of Java 6 or 7 supplemented with selected additions from java.util.concurrent which didn't exist back in Java 6. Due to the lack of default interface methods and static interface methods in pre-Java 8 the API had to be slightly adjusted in these areas but still covers the full... -
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distmake is a distributed, parallel, GNU make-compatible make program. It reads a Makefile and distributes builds targets over a set of build servers on a network
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scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing
scikit-opt is a Python library for solving optimization problems with evolutionary and swarm-intelligence algorithms. It includes genetic algorithms, particle swarm optimization, differential evolution, simulated annealing, ant colony optimization, immune algorithms, and artificial fish swarms. The package can address continuous objectives, constrained problems, and combinatorial tasks such as the traveling salesman problem. A consistent workflow lets users define an objective, configure an... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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College Time Table (CTT)
A small and powerful utility to generate school/college time table.
Most of the time table applications use complex design to generate time table but as a result often lose simplicity. This software uses the most basic, simple and popular Spreadsheet design. This small desktop application can save hundreds of hours of teachers of any small school or college. It will never ask information required but collects information on the fly as you type. Start building time table instantly as you recollect names, subjects etc. Separate executables for Windows... -
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splitjob
Reads from stdin, splits and sends to parallel invocations of commands
Useful to split up jobs over multiple CPU cores or even multiple computers. Examples: tar -cf - /bigdirectory | splitjob -j 4 gzip > big.tar.gz splitjob "ssh h1 bzip2" "ssh h2 bzip2" < f > f.bz2 -
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Transformer TTS
Implementation of a Transformer based neural network
...This design addresses common autoregressive issues such as repetition, skipped words, and unstable attention, and results in robust, fast synthesis where all frames are predicted in parallel. The repository ships with tooling to build datasets (especially LJSpeech) and create training data, plus scripts to train both the aligner and the TTS model, monitor training with TensorBoard, and resume or reset training runs. -
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FARM
Fast & easy transfer learning for NLP
...With FARM you can build fast proofs-of-concept for tasks like text classification, NER or question answering and transfer them easily into production. Easy fine-tuning of language models to your task and domain language. AMP optimizers (~35% faster) and parallel preprocessing (16 CPU cores => ~16x faster). Modular design of language models and prediction heads. Switch between heads or combine them for multitask learning. Full Compatibility with HuggingFace Transformers' models and model hub. Smooth upgrading to newer language models. Integration of custom datasets via Processor class. Powerful experiment tracking & execution. -
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Amadeus
Harmonious distributed data analysis in Rust
Amadeus is a high-performance, distributed data processing framework written in Rust, designed to offer an ergonomic and safe alternative to tools like Apache Spark. It provides both streaming and batch capabilities, allowing users to work with real-time and historical data at scale. Thanks to Rust’s memory safety and zero-cost abstractions, Amadeus delivers performance gains while reducing the complexity and bugs common in large-scale data pipelines. It emphasizes developer productivity... -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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LBRYcrd
The blockchain that provides the digital content namespace for LBRY
...The most salient feature of the LBRY blockchain is the association of a normalized string of characters (a “name”) with a structured set of metadata. This coupling is called a claim. The LBRY blockchain stores names and metadata in a parallel Merkle tree, separate from the tree used to store transaction data. This allows LBRY URLs to be trustfully resolved even without a full copy of the blockchain. -
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Precision_trimmer
Precision resistance value trim circuit using standard parts.
By using standard precision resistors in parallel and series with standard 1, 2, 5 multiple potentiometers, a precision, narrow range resistance trimmer can be created. Fixed resistors are more stable than potentiometers and the circuit reduces the effects of the potentiometer while also determining a precise range. For convenience, a Python script is used to assist in part selection. -
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kAtomics
Geometric kernel for CAD programs using an atomic approach
This kernel uses a discrete approach where the geometry is split into "atoms" at a fixed resolution (e.g. 1µm). The aim is to make full use of the parallel processing capabilities of modern graphics hardware. -
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Hydra
Lightweight full-featured Promises, Async & Await Library in Swift
Hydra is a lightweight Swift library for structuring asynchronous code around strongly typed promises. It lets developers chain dependent operations while handling completion and errors through unified flows instead of nested callbacks. Its async and await helpers allow asynchronous tasks to be written in a more sequential style. Promises can be cancelled through invalidation tokens and executed on configurable Grand Central Dispatch queues. Operators include timeout, retry, recover,... -
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Lightweight-Stream-API
Stream API from Java 8 rewritten on iterators for Java 7 and below
Stream API from Java 8 rewritten on iterators for Java 7 and below. -
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PyBitBanger
Python controlled hardware.
With the demise of the parallel port, a simple way for a Python script to control external hardware has disappeared. The goal of this project is to use relatively simple hardware like an Arduino Nano and the Microchip MCP23S17 port expander as an extensible bit banger. Ideally, all hardware should be leaded and breadboard friendly for easy project prototyping. -
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exa
A modern replacement for ls
...Different types of file and data will be coloured differently, and the user and group columns will be highlighted for the current user. exa can display a file’s extended attributes, as well as standard filesystem information such as the inode, the number of blocks, and a file’s various dates and times. exa queries files in parallel, giving you performance on par with ls. Not only is the standard tree tool built-in, but it’ll show you your files’ information alongside the hierarchy. View the staged and unstaged status of every file, right there in the standard view. Also works in tree view for a high-level overview of your repository. -
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Pushloc
A wireless push-type network simulator.
A wireless push-type network simulator that considers locality of demand for performance improvement. The network environment consists of multiple directed emitters for parallel data broadcasting. Performance depends on the mean response time of clients. -
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YOLO ROS
YOLO ROS: Real-Time Object Detection for ROS
...Darknet on the CPU is fast (approximately 1.5 seconds on an Intel Core i7-6700HQ CPU @ 2.60GHz × 8) but it's like 500 times faster on GPU! You'll have to have an Nvidia GPU and you'll have to install CUDA. The CMakeLists.txt file automatically detects if you have CUDA installed or not. CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia. -
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XLM (Cross-lingual Language Model)
PyTorch original implementation of Cross-lingual Language Model
XLM (Cross-lingual Language Model) is a family of multilingual pretraining methods that align representations across languages to enable strong zero-shot transfer. It popularized objectives like Masked Language Modeling (MLM) across many languages and Translation Language Modeling (TLM) that jointly trains on parallel sentence pairs to tighten cross-lingual alignment. Using a shared subword vocabulary, XLM learns language-agnostic features that work well for classification and sequence labeling tasks such as XNLI, NER, and POS without target-language supervision. The repository provides preprocessing pipelines, training code, and fine-tuning scripts so you can reproduce benchmark results or adapt models to your own multilingual corpora. ... -
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Ultra Runner
Ultra fast monorepo script runner and build tool
Ultra Runner is a high-performance task runner for monorepos. It optimizes package execution, dependency management, and caching to improve speed and efficiency when running scripts across multiple projects. -
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HamsterLab
education, children, course, C programming language, maze, 2d graphic
...It is designed to be used for teaching classes and contains a possible lesson plan (currently only in German). Special thanks to Oliver Saalfeld for drawing the texture graphics. Please note that the software is not finished, yet, since it is developed right now in parallel to my current course. Also a user guide is supposed to come. By now, please read the README file in doc/ for some minor instructions. For a quick start, download HamsterLab_bundle.zip for a ready to use version on Linux/Windows with Code::Blocks IDE and libSIGIL graphics library (pay attention to the corresponding licenses) or use HamsterLab.zip for the plain sources (GPLv3). ... -
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vdx
An intuitive CLI for processing video, powered by FFmpeg
vdx is a command-line video processing tool built on top of FFmpeg that simplifies common editing tasks through a clean and intuitive interface. It allows users to perform operations such as trimming, cropping, resizing, and format conversion without manually writing complex FFmpeg commands. The tool is designed to process multiple video files concurrently, improving efficiency when handling batch workloads. It supports chaining multiple transformations in a single command, enabling... -
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RadonDB
RadonDB is an open source, cloud-native MySQL database
RadonDB is a cloud-native database based on MySQL, and architected in fully distributed cluster that enable unlimited scalability (scale-out), capacity and performance. It supported distributed transaction that ensure high data consistency, and leveraged MySQL as storage engine for trusted data reliability. RadonDB is compatible with MySQL protocol, and sup-porting automatic table sharding as well as batch of automation feature for simplifying the maintenance and operation workflow. RadonDB... -
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parallel_hmmer
Lets HMMER programs use databases presplit to compute nodes.
Modified HMMER that can utilize databases split across compute nodes, as opposed to using one large database on the master node and moving all of the data across the network on each run. Also implements a web server interface which is aware of these changes. -
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multirpc
Multi transport RPC
...This GoLang module provides a full stack for implementing a flexible RPC service. The same mux router could be used for providing service to multiple network transports in parallel. The aim for multirpc is to provide and easy way to implement an RPC communication over any transport layer, using the same JSON structure and signature schema. The API consumer only needs to provide the application layer (define the custom JSON fields and handlers). The RPC provides security mechanisms for validating the origin and for authentication (using secp256k1 cryptography). ...
