Search Results for "throughput" - Page 10
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Showing 502 open source projects for "throughput"
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1
OmicSelector
Feature selection and deep learning modeling for omic biomarker study
OmicSelector is an environment, Docker-based web application, and R package for biomarker signature selection (feature selection) from high-throughput experiments and others. It was initially developed for miRNA-seq (small RNA, smRNA-seq; hence the name was miRNAselector), RNA-seq and qPCR, but can be applied for every problem where numeric features should be selected to counteract overfitting of the models. Using our tool, you can choose features, like miRNAs, with the most significant diagnostic potential (based on the results of miRNA-seq, for validation in qPCR experiments). -
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FUNseq
Cell segmentation/tracking for determing aggresive cancer phenotypes
...Identifying a sparse subset of cancer cells from a large heterogeneous population, based on aggressive phenotypes (like invasive migration, multipolar divisions, or asymmetric lineage development) is challenging. Also, such aberration identification is critical, as cells exhibiting these characteristics are linearly correlated with poor prognosis. A high-throughput screening microscope has been developed in our group to capture these sparse, abnormal cancer cells. A program to identify these cells of interest in an accurate and fast fashion is essential. For this, we developed the mTGMM program, which tracks cells of high-throughput images, and determines the aggresive phenotypes. -
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Apple Neural Engine (ANE) Transformers
Reference implementation of the Transformer architecture optimized
...The repository targets practitioners who want to keep familiar PyTorch modeling while preparing models for Core ML/ANE execution paths. Documentation highlights reported improvements in throughput and memory residency, while releases track incremental fixes and packaging updates. The project sits alongside related Apple ML repos that focus on deploying attention-based models efficiently to ANE-equipped hardware. In short, it’s a practical blueprint for adapting Transformers to Apple’s dedicated ML accelerator without rewriting entire model stacks. -
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CAT
CAT is the basic component of the server project
CAT is a distributed application performance monitoring and alerting system that specializes in tracking request flows, exceptions, and metrics across microservice ecosystems. It offers real-time dashboards showing throughput, response times, error rates, and service dependency graphs to help operations and development collaborate on reliability issues. In addition to metrics, it enables tracing—propagating context across RPC boundaries so problems like latency spikes or failed calls can be traced end-to-end. Alert rules and anomaly detection can be defined to notify teams proactively. ... -
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sRNAWorkbench
The UEA sRNA Workbench
...Including expression profiling of known mirco RNA (miRNA), identification of novel miRNA in deep-sequencing data and identification of other interesting landmarks within high-throughput genetic data -
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Poem Framework
A full-featured and easy-to-use web framework
...A front-end automated deployment platform based on continuous integration of aws. Hik-ProConnect project for Hikvision. A smart SSH bastion host that works with any SSH clients. A fast, auto-optimizing image server designed for high throughput and caching. Building the safest and most scalable Layer 1 blockchain. Casbin access control middleware for poem framework. -
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Dispatch-Proxy
Combine internet connections, increase your download speed
dispatch-proxy is a Node.js tool that exposes a local proxy and distributes outgoing connections across multiple network interfaces to combine bandwidth for parallel transfers. Instead of trying to accelerate a single TCP flow, it improves aggregate throughput by load-balancing many connections—useful for download managers, package managers, or browsers that open multiple requests at once. It can bind new outbound sockets to different interfaces, letting a machine take advantage of Wi-Fi and Ethernet (or multiple uplinks) simultaneously. The utility runs as a simple proxy endpoint, so existing applications can benefit without code changes by pointing their traffic to it. ... -
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Peptide Pattern Recognition
Software for non-alignment based analysis of DNA and protein sequences
Software for analysis, grouping and functional prediction of DNA and protein sequences as described in: Busk P.K. (2017). Peptide Pattern Recognition for high-throughput protein sequence analysis and clustering. BioRxiv. doi: https://doi.org/10.1101/181917. Busk P.K. and Lange L. (2013). Function-based classification of carbohydrate-active enzymes by recognition of short, conserved peptide motifs. Appl Environ Microbiol. 79(11), 3380-91. Busk P.K. Lange M. Pilgaard B. and Lange L. (2014). Several genes encoding enzymes with the same activity are necessary for aerobic fungal degradation of cellulose in nature. ... -
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htDNA Platform Technology
htDNA-chip® is a high-throughput DNA synthesis technology platform.
The silicon chip of the htDNA-chip® technology platform is equipped with a special photothermal conversion device, which converts light into different temperatures under the irradiation of light. At different temperatures, the growing DNA strands are selectively deprotected, allowing us to tap in bases as needed. So through the htDNA-chip® technology platform, experts can control the synthesis of different sequences of DNA at different synthesis reaction sites by photothermal conversion. -
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musicForProgramming
Unofficial port of musicforprogramming.net to be hosted on IPFS
Listen to music while you program, streamed via the peer-to-peer technology IPFS. The music comes from musicforprogramming.net, and has been carefully chosen to maximize concentration by providing just the right amount of interest to occupy the parts of your brain that would otherwise be left free to wander and lead to distraction during your work. -
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hora
Efficient approximate nearest neighbor search algorithm collections
...The library is written in Rust and emphasizes performance, safety, and efficient memory management, making it suitable for production-grade applications requiring low latency and high throughput. -
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sirius signing server
Centralized signing and verification
Sirius-Sign is a signing and verification server with it's focus on high throughput and easy integration into an existinig landscape. For signature creation smartcards with OCF and PKCS11 interfaces are supported. An EJB container is required. -
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DockStream
A Docking Wrapper to Enhance De Novo Molecular Design
...The flexilibity to specifiy a large variety of docking configurations allows tailored protocols for diverse end applications. DockStream can also parallelize docking across CPU cores, increasing throughput. DockStream is integrated with the de novo design platform, REINVENT, allowing one to incorporate docking into the generative process, thus providing the agent with 3D structural information. -
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Hyperledger Burrow
A permissioned Ethereum smart-contract blockchain node
...It executes Ethereum EVM and WASM smart contract code (usually written in Solidity) on a permissioned virtual machine. Burrow provides transaction finality and high transaction throughput on a proof-of-stake Tendermint consensus engine. Burrow is a fully-fledged blockchain node and smart contract execution engine -- a distributed database that executes code. Burrow runs Ethereum Virtual Machine (EVM) and Web Assembly (WASM) smart contracts. Burrow networks are synchronized using the Tendermint consensus algorithm. ... -
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TensorBase
TensorBase is a new big data warehousing with modern efforts
TensorBase hopes the open source not become a copy game. TensorBase has a clear-cut opposition to fork communities, repeat wheels, or hack traffic for so-called reputations (like Github stars). After thoughts, we decided to temporarily leave the general data warehousing field. For people who want to learn how a database system can be built up, or how to apply modern Rust to the high-performance field, or embed a lightweight data analysis system into your own big one. You can still try, ask... -
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Allelome.PRO
A pipeline to define allele-specific genomic features
Detecting allelic biases from high-throughput sequencing data requires an approach that maximises sensitivity while minimizing false positives. Here we present Allelome.PRO, an automated userfriendly bioinformatics pipeline, which uses high-throughput sequencing data from reciprocal crosses of two genetically distinct mouse strains to detect allele-specific expression and chromatin modifications. -
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Apache Dubbo Spring Boot Project
Spring Boot project for Apache Dubbo
...Dubbo provides high performance interface based RPC, which is transparent to users. Dubbo supports multiple load balancing strategies out of the box, which perceives downstream service status to reduce overall latency and improve system throughput. Dubbo supports multiple service registries, which can detect service online/offline instantly. Dubbo’s micro-kernel and plugin design ensures that it can easily be extended by third party implementation across core features like protocol, transport, and serialization. -
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The Riverdrums Load Balancer is a feature-full, fast, event-driven frontend to enable high throughput access to clusters.
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TerarkDB
A RocksDB compatible KV storage engine with better performance
...It aims to be drop-in compatible with existing RocksDB setups: you can migrate most RocksDB instances over to TerarkDB without rewriting your storage logic. Under the hood, TerarkDB employs advanced data structures and compression strategies to reduce I/O, memory usage, and latency variability — delivering higher throughput and more predictable performance under heavy load. Because of these optimizations, TerarkDB can be especially beneficial for services requiring fast read/write responses under variable workloads or those dealing with large datasets while aiming to keep resource usage efficient. Its focus includes optimizing write amplification, compaction efficiency, and storage footprint — which matters for large-scale deployment environments. -
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MToolBox
A bioinformatics pipeline to analyze mtDNA from NGS data
MToolBox is a highly automated bioinformatics pipeline to reconstruct and analyze human mitochondrial DNA from high throughput sequencing data. MToolBox includes an updated computational strategy to assemble mitochondrial genomes from Whole Exome and/or Genome Sequencing (PMID: 22669646) and an improved fragment-classify tool (PMID:22139932) for haplogroup assignment, functional and prioritization analysis of mitochondrial variants. MToolBox provides pathogenicity scores, profiles of genome variability and disease-associations for mitochondrial variants. ... -
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...In a clustered solar-powered sensor network where nodes in the network are grouped into clusters, data collected by cluster members are sent to their cluster head and finally transmitted to the base station. The goal of the whole network is to maintain an energy neutrality state and to maximize the effective data throughput of the network. The cooperative Q-learning is applied in this multi-agent environment the solar-powered wireless sensor networks to keep harvested energy more balanced among the whole clustered network.
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TurboTransformers
Fast and user-friendly runtime for transformer inference
TurboTransformers is a high-performance inference framework optimized for running Transformer models efficiently on CPUs and GPUs. It improves latency and throughput for NLP applications. -
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Evio
Fast event-loop networking for Go
Evio is a Go networking framework built around a high-performance event loop (much like libuv or libevent) but tailored for Go, bypassing the standard net package to make direct epoll/kqueue syscalls on supported OSes for maximum throughput. The library is used where ultra-low latency and high packet rates matter (for example, proxy servers or real-time packet handling). It supports TCP, UDP, and UNIX sockets, multiple address binding, and built-in load balancing across event loops (loops can run single-threaded or multi-threaded). The API is minimalist and exposes event hooks such as Data, Opened, Closed, Tick, allowing developers full control. ... -
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tcptrace
tcptrace analyzes packet tcp connections and provides analysis
...It can take as input the files produced by several popular packet-capture programs, including tcpdump, snoop, etherpeek, HP Net Metrix, and WinDump. tcptrace can produce several different types of output containing information on each connection seen, such as elapsed time, bytes and segments sent and recieved, retransmissions, round trip times, window advertisements, throughput, and more. It can also produce a number of graphs for further analysis. -
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janus
An API Gateway written in Go
...API Gateway will also record detailed analytics on how your users are interacting with your API and when things go wrong. An API Gateway sits in front of your application(s) and/or services and manages the heavy lifting of authorization, access control, and throughput limiting to your services. Ideally, it should mean that you can focus on creating services instead of implementing management infrastructure. For example, if you have written a really awesome web service that provides geolocation data for all the cats in NYC, and you want to make it public, integrating an API gateway is a faster, more secure route than writing your own authorization middleware. ...
