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Showing 41 open source projects for "block"
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pandas
Fast, flexible and powerful Python data analysis toolkit
... block for doing practical, real world data analysis in Python, as well as powerful and flexible open source data analysis/ manipulation tool for any language. -
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SiYuan
Build your eternal digital garden
SiYuan is a local-first personal knowledge management system that supports complete offline use, as well as end-to-end encrypted synchronization. Fuse blocks, outlines, and bidirectional links to build your eternal digital garden. SiYuan, the only important core concept is Content block. The content block can be formed through the formatting format, so that we can organize our thoughts and knowledge at the block-level granularity, and it is also convenient for reading and outputting long... -
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Apache HBase
Get random, realtime read/write access to your Big Data
Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables, billions of rows X millions of columns, atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable. A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache... -
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BlockArrays.jl
BlockArrays for Julia
A block array is a partition of an array into blocks or subarrays, see Wikipedia for a more extensive description. This package has two purposes. Firstly, it defines an interface for an AbstractBlockArray block arrays that can be shared among types representing different types of block arrays. The advantage to this is that it provides a consistent API for block arrays. Secondly, it also implements two different types of block arrays that follow the AbstractBlockArray interface. The type... -
Red Hat Enterprise Linux on Microsoft AzureRed Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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ACME.jl
Analog Circuit Modeling and Emulation for Julia
ACME is a Julia package for the simulation of electrical circuits, focusing on audio effect circuits. It allows one to programmatically describe a circuit in terms of elements and connections between them and then automatically derive a model for the circuit. The model can then be run on varying input data. -
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Terraform Provider for AWS
The Terraform AWS provider
... credentials can be provided by adding an access_key and secret_key in-line in the AWS provider block. By default, the underlying AWS client used by the Terraform AWS Provider creates requests with User-Agent headers including information about Terraform and AWS Go SDK versions. -
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Bumper.jl
Bring Your Own Stack
Bumper.jl is a package that aims to make working with bump allocators (also known as arena allocators) easier and safer. You can dynamically allocate memory to these bump allocators, and reset them at the end of a code block, just like Julia's stack. Allocating to a bump allocator with Bumper.jl can be just as efficient as stack allocation. Bumper.jl is still a young package, and may have bugs. Let me know if you find any. -
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AbstractGPs.jl
Abstract types and methods for Gaussian Processes
AbstractGPs.jl is a package that defines a low-level API for working with Gaussian processes (GPs), and basic functionality for working with them in the simplest cases. As such it is aimed more at developers and researchers who are interested in using it as a building block than end-users of GPs. You may want to go through the main API design documentation. -
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Chain.jl
A Julia package for piping a value through transformation expressions
A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality. -
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streetmerchant
The world's easiest, most powerful stock checker
... are very capable as you have made it this far. Some basic understanding how a terminal, git, and or Node.js is a bonus, but that does not limit you to getting streetmerchant running! There is a lot of undefined behavior with using streetmerchant in the cloud. Some sites may block IPs from your cloud provider. It is possible that a VPN will help circumvent these problems. -
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LoggingExtras.jl
Composable Loggers for the Julia Logging StdLib
LoggingExtras allows routing logged information to different places when constructing complicated "log plumbing" systems. Built upon the concept of simple parts composed together, subtyping AbstractLogger provides a powerful and flexible definition for your logging system without a need to define any custom loggers. When we talk about composability, the composition of any set of Loggers is itself a Logger, and LoggingExtras is a composable logging system. -
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HDF5.jl
Save and load data in the HDF5 file format from Julia
..., strings, and arrays), HDF5 provides sufficient metadata to know how each item is to be interpreted. For example, HDF5 encodes that a given block of bytes is to be interpreted as an array of Int64, and represents them in a way that is compatible across different computing architectures. However, to preserve Julia objects, one generally needs additional type information to be supplied, which is easy to provide using attributes. -
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Machinery
Machinery is an asynchronous task queue/job queue
Machinery is an asynchronous task queue/job queue based on distributed message passing. Please be advised that V2 is work in progress and breaking changes can and will happen until it is ready. You can use the current V2 in order to avoid having to import all dependencies for brokers and backends you are not using. Instead of factory, you will need to inject broker and backend objects to the server constructor. In order to consume tasks, you need to have one or more workers running. All you... -
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SciML Style Guide for Julia
A style guide for stylish Julia developers
... recommended functionality should be tested, and any known generality issues should be documented in an issue (and with a @test_broken test when possible). However, a function that is known to not be GPU-compatible is not grounds to block merging, rather it is encouraged for a follow-up PR to improve the general type support. -
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AugmentedGaussianProcesses.jl
Gaussian Process package based on data augmentation, and sparsity
AugmentedGaussianProcesses.jl is a Julia package in development for Data Augmented Sparse Gaussian Processes. It contains a collection of models for different gaussian and non-gaussian likelihoods, which are transformed via data augmentation into conditionally conjugate likelihood allowing for extremely fast inference via block coordinate updates. There are also more options to use more traditional variational inference via quadrature or Monte Carlo integration. -
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Deep learning time series forecasting
Deep learning PyTorch library for time series forecasting
Example image Flow Forecast (FF) is an open-source deep learning for time series forecasting framework. It provides all the latest state-of-the-art models (transformers, attention models, GRUs) and cutting-edge concepts with easy-to-understand interpretability metrics, cloud provider integration, and model serving capabilities. Flow Forecast was the first time series framework to feature support for transformer-based models and remains the only true end-to-end deep learning for time series... -
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Msc-generator
Draws signalling charts, block diagrams and graphs from text input.
NOTE! We have moved to https://gitlab.com/msc-generator/msc-generator All development happens there. Also, download new releases & submit issues there. A tool to draw various charts from textual descriptions. Currently, three types of charts are supported: Message Sequence Charts, generic Graphs, and Block Diagrams, with more to be added in the future. There is a command-line version for Linux and Mac (replacing mscgen), which now sports a GUI, as well. Msc-generator allows fine control... -
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Open Crypto Tracker
Bitcoin Alts portfolio tracker, email / text / alexa / telegram alerts
100% FREE / open source / PRIVATE cryptocurrency portfolio tracker. Email / text / alexa / telegram price alerts, price charts, mining calcs, leverage / gain / loss / balance stats, news feeds +more. Privately track Bitcoin / Ethereum / unlimited cryptocurrencies. Customize as many assets / markets / alerts / charts as you want. Over 40 Exchanges / 20 Trading Pairs Supported (exchanges / pairings list at bottom of README.txt): https://tinyurl.com/ct-readme Nearly Unlimited Assets... -
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MyBox
Easy Tools of PDF, Image, File, Network, Data, and Medias
javafx-desktop-apps pdf image ocr icc barcode color-palette text bytes markdown html archive compress digest video audio editor converter media https://github.com/Mararsh/MyBox Self-contain packages need not java env nor installation. Jar packages need Java 16 or higher. -
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Sparx' EA - MDG for TRAK
MDG for Sparx' Enterprise Architect to Create TRAK arch. descriptions
Custom add-in (MDG technology) for Sparx Systems Enterprise Architect UML modelling tool (https://sparxsystems.com/products/ea/index.html) to create architecture descriptions using TRAK https://sf.net/projects/trak Provides: - the set of TRAK views that can be represented using UML and SysML . Each view display a custom toolbox palette with the objects and relationships that are needed for that TRAK view - relationships can be made directly from the objects on a view using the... -
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LEACrypt
TTAK.KO-12.0223 Lightweight Encryption Algorithm Tool
The Lightweight Encryption Algorithm (also known as LEA) is a 128-bit block cipher developed by South Korea in 2013 to provide confidentiality in high-speed environments such as big data and cloud computing, as well as lightweight environments such as IoT devices and mobile devices. LEA is one of the cryptographic algorithms approved by the Korean Cryptographic Module Validation Program (KCMVP) and is the national standard of Republic of Korea (KS X 3246). LEA is included in the ISO/IEC... -
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PowerTimeTracking
An app for social accountability in focus and screen time analysis.
Power time tracking works to keep the user focused on the tasks that are important. It functions as a screen time app, assisting users in identifying distractions and allowing the user to choose apps to block during focus modes. Live focus modes add social accountability to focusing, letting friended and invited users see if you’re distracted while constantly keeping track of the least distracted by percentage. -
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Reliquarium
3D slider puzzles for kids; helps teach solid geometry
... the cursor rotates the cube for a better view angle. The mouse wheel zooms. Typing a number 1..8 selects a block to move, 0 selects the relic itself. Then use the keys {u,d,l,r,f,b} to move it. The proper command to extract the archive and maintain the directory structure is "7z x filename". These unique puzzles are spatially challenging, yet easy enough for children and will likely help with learning 3D visualization, geometry, problem solving and computer skills. -
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FlexiList.
FlexiList is a Java data structure that combines the benefits of array
... point. ->Dynamic Size: FlexiList can grow or shrink dynamically as elements are added or removed, whereas arrays have a fixed size. ->Good Memory Locality: FlexiList nodes are stored in a contiguous block of memory, making it more cache-friendly than arrays. ->Faster Insertion and Deletion: FlexiList can insert or delete nodes at any position in the list in O(1) time, whereas ArrayList requires shifting all elements after the insertion or deletion point. -
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Fastcoin (FST)
The fastest software-based online payment system
The fastest software-based online payment system RELEASE : v1.14.3.2 Fastcoin - Celebrating over eight years of fast & secure transactions. ------------------------------------------------------------------------ - Total coins will be 165,888,000. - 60 second block target (Modified in 2021) - Custom unique difficulty algorithm. - Retargets once every hour or 300 blocks. - Each block contains 32 coins which will be halved every year (or 2,592,000 blocks). - (Currently 2 coins per...