Search Results for "network data speed" - Page 9
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Showing 635 open source projects for "network data speed"
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Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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Retool your internal operationsBuild internal software that meets enterprise security standards without waiting on engineering resources. Retool connects to your databases, APIs, and data sources while maintaining the permissions and controls you need. Create custom dashboards, admin tools, and workflows from natural language prompts—all deployed in your cloud with security baked in. Stop duct-taping operations together, start building in Retool.
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whiteboxgui
An interactive GUI for WhiteboxTools in a Jupyter-based environment
The whiteboxgui Python package is a Jupyter frontend for WhiteboxTools, an advanced geospatial data analysis platform developed by Prof. John Lindsay (webpage; jblindsay) at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. WhiteboxTools can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. -
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Neural Network Visualization
Project for processing neural networks and rendering to gain insights
nn_vis is a minimalist visualization tool for neural networks written in Python using OpenGL and Pygame. It provides an interactive, graphical representation of how data flows through neural network layers, offering a unique educational experience for those new to deep learning or looking to explain it visually. By animating input, weights, activations, and outputs, the tool demystifies neural network operations and helps users intuitively grasp complex concepts. Its lightweight codebase is great for customization and teaching purposes. -
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Execute JavaScript from Go
Execute JavaScript from Go
Execute JavaScript from Go. For scripts that are large or are repeatedly run in different contexts, it is beneficial to compile the script once and used the cached data from that compilation to avoid recompiling every time you want to run it. The v8go library would welcome contributions from anyone able to get an external windows build of the V8 library linking with v8go, using the version of V8 checked out in the deps/v8 git submodule, and documentation of the process involved. This process... -
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ldetool
Code generator for fast log file parsers
ldetool (Line Data Extraction Tool) is a command-line utility that generates Go code for fast log file parsing. By defining parsing rules, developers can produce efficient parsers tailored to specific log formats, outperforming traditional regex-based approaches. It's particularly useful for processing large volumes of log data. -
Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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Alpa
Training and serving large-scale neural networks
Alpa is a system for training and serving large-scale neural networks. Scaling neural networks to hundreds of billions of parameters has enabled dramatic breakthroughs such as GPT-3, but training and serving these large-scale neural networks require complicated distributed system techniques. Alpa aims to automate large-scale distributed training and serving with just a few lines of code. -
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LBRY SDK
The LBRY SDK for building decentralized content apps
Join top creators and more than 10,000,000 people on LBRY, an open, free, and fair network for digital content. LBRY is a decentralized peer-to-peer protocol for publishing and accessing digital content. It utilizes the LBRY blockchain as a global namespace and database of digital content. Blockchain entries contain searchable content metadata, identities, rights and access rules. LBRY also provides a data network that consists of peers (seeders) uploading and downloading data from other peers, possibly in exchange for payments, as well as a distributed hash table used by peers to discover other peers. ... -
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Blue Print
Blue Print is a remote access, cross-platform hex editor/data analyzer
...Its back-end works on Windows, Linux and OSX platforms, and the Web-based front-end runs on any browser. Users can start the back-end of WBP on PC/server/NAS/smart device(hereinafter referred to as the host) which has network connection, and perform graphical editing & analysis on data of the host in a browser on any other machine regardless of whether the host has local graphics module or not. Of course, you can also operate directly on host which has local graphics module. -
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eXist-db
eXist-db is a feature rich Open Source native XML database
eXist-db is a native XML database featuring efficient, index-based XQuery processing, extensions for keyword search, XUpdate support, XSLT support, XForms support, REST and tight integration with existing XML development tools. Moved to Github - https://www.github.com/exist-db/exist -
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DeepCTR
Package of deep-learning based CTR models
DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layers which can be used to easily build custom models. You can use any complex model with model.fit(), and model.predict(). Provide tf.keras.Model like interface for quick experiment. Provide tensorflow estimator interface for large scale data and distributed training. It is compatible with both tf 1.x and tf 2.x. With the great success of deep learning,DNN-based... -
Dun and Bradstreet Connect simplifies the complex burden of data managementThe amount, speed, and types of data created in today’s world can be overwhelming. With D&B Connect, you can instantly benchmark, enrich, and monitor your data against the Dun & Bradstreet Data Cloud to help ensure your systems of record have trusted data to fuel growth.
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DeepCTR-Torch
Easy-to-use,Modular and Extendible package of deep-learning models
DeepCTR-Torch is an easy-to-use, Modular and Extendible package of deep-learning-based CTR models along with lots of core components layers that can be used to build your own custom model easily.It is compatible with PyTorch.You can use any complex model with model.fit() and model.predict(). With the great success of deep learning, DNN-based techniques have been widely used in CTR estimation tasks. The data in the CTR estimation task usually includes high sparse,high cardinality categorical features and some dense numerical features. Low-order Extractor learns feature interaction through product between vectors. Factorization-Machine and it’s variants are widely used to learn the low-order feature interaction. High-order Extractor learns feature combination through complex neural network functions like MLP, Cross Net, etc. -
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ml-surveys
Survey papers summarizing advances in deep learning, NLP, CV, graphs
...Instead of diving into code or experiments, this repo gathers authoritative survey and review articles, summarizing the state-of-the-art, trends, challenges, and directions within each subdomain. For someone trying to get up to speed with a new ML subfield — say graph neural networks or meta-learning — ml-surveys offers a curated reading list of foundational and recent works, helping map the landscape quickly. It is particularly useful for researchers, data scientists, or engineers who want conceptual clarity about where a field stands, what problems remain, and what techniques are most established. -
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kube-fledged
Kubernetes operator to create and manage cache of container images
kube-fledged is a kubernetes operator for creating and managing a cache of container images directly on the worker nodes of a Kubernetes cluster. It allows a user to define a list of images and onto which worker nodes those images should be cached (i.e. pulled). As a result, application pods start almost instantly, since the images need not be pulled from the registry. kube-fledged provides CRUD APIs to manage the lifecycle of the image cache, and supports several configurable parameters to... -
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Jraph
A Graph Neural Network Library in Jax
Jraph (pronounced “giraffe”) is a lightweight JAX library developed by Google DeepMind for building and experimenting with graph neural networks (GNNs). It provides an efficient and flexible framework for representing, manipulating, and training models on graph-structured data. The core of Jraph is the GraphsTuple data structure, which enables users to define graphs with arbitrary node, edge, and global attributes, and to batch variable-sized graphs efficiently for JAX’s just-in-time... -
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Google IPs
Public IP address ranges associated with Google infrastructure
Google-IPs aggregates public IP address ranges that are associated with Google’s infrastructure, collecting them in machine-readable formats useful for routing and firewall rules. The list is helpful for administrators who need to whitelist Google endpoints, analyze traffic, or tune proxies and CDN configurations. By centralizing ranges that are otherwise spread across announcements and registries, it saves time and reduces misconfiguration risk. The repository typically includes CIDR blocks... -
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CityHash
Automatically exported from Google code CityHash
...CityHash offers multiple hash sizes—32-bit, 64-bit, 128-bit, and 256-bit variants—with the CRC-based versions leveraging hardware acceleration on CPUs that support SSE4.2 CRC32 instructions. The library emphasizes hashing performance and uniformity rather than cryptographic security, making it ideal for use in data structures like hash tables and distributed systems requiring rapid key lookups. CityHash has been rigorously tested using tools like SMHasher to ensure high-quality mixing and collision resistance across a wide range of inputs. Its speed and portability have made it a popular choice for developers needing dependable, lightweight hash functions. -
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DBFeeder
Highly Customizable Test Data Generator
DBFeeder is a great tool to generate synthetic testdata for Oracle Databases and it is ideal for companies who wants to outsource development. Thanks to his original approach, data can be highly customizable and it even fits primary and foreign keys constraints of tables. -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the new FullyShardedDataParallel (FSDP) wrapper provided by fairscale. Fairseq can be extended through user-supplied plug-ins. Models define the neural network architecture and encapsulate all of the learnable parameters. ... -
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D-List
An extensive list subsystem, written in C
...It was written primarily for accuracy and speed, and provides extensive debugging support for easy code development. -
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Laravel Report Generators
Rapidly Generate Simple Pdf, CSV, & Excel Report Package on Laravel
Rapidly generate simple PDF reports on Laravel or CSV/Excel reports. This package provides simple PDF, csv & excel report generators to speed up your workflow. It also allows you to stream(), download(), or store() the report seamlessly. -
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With the JServiceServer you can provide services over a network via http (like web services) without any XML-overhead. It has been developed for small computer systems like Java-microcontrollers.
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penthouse
Generate critical CSS for your web pages
The critical path is the path to render a web page, what's needed before that can happen. CSS Stylesheets block rendering. Until the browser has requested, received, downloaded, and parsed your stylesheets, the page will remain blank. By reducing the amount of CSS the browser has to go through, and by inlining it on the page (removing the HTTP request), we can get the page to render much, much faster. You should minify the critical CSS, then inline it on your page (wrapped in <style> tags).... -
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SoloPi
SoloPi Automated Testing Tool
...Users only need to execute the use case steps through SoloPi, and SoloPi can record the user's operations and support playback on various devices, all of which can be done independently on the mobile phone. See the recording and playback section for details. SoloPi can record various indicators of the application under test. You can observe the real-time updated data in the floating window, and you can also record the performance data and view the chart after the recording. , memory and network environment to limit, reproduce the performance of the application in the scene of poor performance and poor network environment. -
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GoDS
Implementation of various data structures and algorithms in Go
GoDS, which means "Go Data Structures", is an implementation of various data structures and algorithms in Go. It provides a wide variety of containers (Sets, Lists, Stacks, Maps, Trees), sets (HashSet, TreeSet, LinkedHashSet), lists (ArrayList, SinglyLinkedList, DoublyLinkedList), stacks (LinkedListStack, ArrayStack), maps (HashMap, TreeMap, HashBidiMap, TreeBidiMap, LinkedHashMap), trees (RedBlackTree, AVLTree, BTree, BinaryHeap), comparators, and iterators. Containers are either ordered or... -
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BizCharts
Powerful data visualization library based on G2 and React
BizCharts is Alibaba's general charting component library, dedicated to creating efficient, professional and convenient data visualization solutions in the middle and backend of enterprises. Based on the React charting library packaged by G2 and G2Plot, it has experienced three years of baptism in Alibaba's complex business scenarios. In terms of convenience, ease of use, and richness, it satisfies the business implementation of conventional charts and highly customized charts. After years... -
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M2SQL
Replicate your Mumps Globals into Relational Data Base
M2SQL is a handy tool that permits to map your existing Mumps Globals in a relational Vision. The mapping process is simple and intuitive and is done only once. The Mapping process will describe the Mumps Globals data as a complex of Applications, Hierarchies, Relations and fields. Once mapping is completed you will able to replicate all the Mumps data into Target Relation database such as SQLITE or MYSQL. Normally you will do the replication process once a day while system is...
