Search Results for "parallel-sudoku-solver" - Page 22
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Showing 2100 open source projects for "parallel-sudoku-solver"
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ControlNet
Let us control diffusion models
ControlNet is a neural network architecture designed to add conditional control to text-to-image diffusion models. Rather than training from scratch, ControlNet “locks” the weights of a pre-trained diffusion model and introduces a parallel trainable branch that learns additional conditions—like edges, depth maps, segmentation, human pose, scribbles, or other guidance signals. This allows the system to control where and how the model should focus during generation, enabling users to steer layout, structure, and content more precisely than prompt text alone. The project includes many trained model variants that accept different types of conditioning (e.g., canny edge input, normal maps, skeletal pose) and produce improved fidelity in stable diffusion outputs. ... -
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text-dedup
All-in-one text de-duplication
...This is especially useful for NLP tasks where duplicated training data can skew model performance. text-dedup scales to billions of documents and offers tools for chunking, hashing, and comparing text efficiently with low memory usage. It supports Jaccard similarity thresholding, parallel execution, and flexible deduplication strategies, making it ideal for cleaning web-scraped data, language model training datasets, or document archives. -
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GETL
ETL engine based on Groovy
P.S. Dear friends. Repository migration to https://github.com/ascrus/getl . You can download jar file from this site or maven. GETL - based package in Groovy, which automates the work of loading and transforming data. His name is an acronym for «Groovy ETL». GETL is a set of libraries of pre-built classes and objects that can be used to solve problems unpacking, transform and load data into programs written in Groovy, or Java, as well as from any software that supports the work with... -
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Petals
Run 100B+ language models at home, BitTorrent-style
...Run large language models like BLOOM-176B collaboratively — you load a small part of the model, then team up with people serving the other parts to run inference or fine-tuning. Single-batch inference runs at ≈ 1 sec per step (token) — up to 10x faster than offloading, enough for chatbots and other interactive apps. Parallel inference reaches hundreds of tokens/sec. Beyond classic language model APIs — you can employ any fine-tuning and sampling methods, execute custom paths through the model, or see its hidden states. You get the comforts of an API with the flexibility of PyTorch. You can also host BLOOMZ, a version of BLOOM fine-tuned to follow human instructions in the zero-shot regime — just replace bloom-petals with bloomz-petals. ... -
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RC_Filter_Explorer
Multistage RC filter design aid.
For a given total series resistance and total parallel capacitance, a multistage RC filter will give a much sharper rolloff than a single stage filter. The difference is very large when going from one stage to two stages and tapers off as the number of stages increase. The main application of such a filter would be in circuits where the offset and frequency performance of an active filter would be undesirable. -
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Mendel’s Accountant is a biologically realistic, forward-time, parallel, numerical simulation program which models genetic change within a population, as affected by mutation and selection.
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Ominis-Osint
Ominis OSINT: Secure Web-history Search
Ominis OSINT Secure Web-history Search stands as a premier solution for digital reconnaissance, offering unparalleled capabilities in gathering, analyzing, and interpreting publicly available information sourced from diverse online platforms. With its comprehensive suite of features, Ominis equips users to navigate through the expansive digital landscape with precision and efficiency, enabling the extraction of valuable insights from a myriad of sources. -
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Custom-Puppy-Linux-For-Scripts
A Custom Puppy Linux Live CD For Creating & Running Shell Scripts
This Live CD is created for the purpose of writing & running shell scripts on various computers. This is a 64-bit system for better performance and features. Please see the Images of its Desktop below. Pressing F4 from any Folder on the File Manager will launch the Terminal and will set your working directory automatically. After Downloading, Either Burn this .iso image to a DVD and boot from it on any computer OR install it to a USB drive with the multiboot-usb software, available here... -
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100 Days of Code YouTube
Source code for 100 days of code python course on YouTube
100 Days of Code YouTube is a day-by-day source-code collection for a comprehensive Python programming course. The repository organizes lessons into numbered folders that progress from basic concepts to advanced language features. Early material covers variables, data types, input, strings, conditions, loops, functions, and common collections. Intermediate lessons explore exceptions, modules, file I/O, functional programming, and extensive object-oriented programming concepts. Later days... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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This software solves the Phylogeny problem using Median Networks. Exact and heuristic methods available. Input: an alignment and a reversible stepmatrix, output: (sub)optimal trees and their combinations. Steiner problem solver included.
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EEC Solver is an app for the HP Prime calculator. It can be used to solve AC or DC circuits with linear and non-linear elements.
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ProxSDP.jl
Semidefinite programming optimization solver
ProxSDP is an open-source semidefinite programming (SDP) solver based on the paper "Exploiting Low-Rank Structure in Semidefinite Programming by Approximate Operator Splitting". The main advantage of ProxSDP over other state-of-the-art solvers is the ability to exploit the low-rank structure inherent to several SDP problems. -
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Gaius.jl
Divide and Conquer Linear Algebra
Gaius.jl is a multi-threaded BLAS-like library using a divide-and-conquer strategy to parallelism, and built on top of the fantastic LoopVectorization.jl. Gaius spawns threads using Julia's depth-first parallel task runtime and so Gaius's routines may be fearlessly nested inside multi-threaded Julia programs. Gaius is not stable or well-tested. Only use it if you're adventurous. -
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A Guide to Java 8
Introduction to Java 8
...Topics include default interface methods, lambda expressions, functional interfaces, method references, and constructor references. The guide also covers built-in functional types such as predicates, functions, suppliers, consumers, and comparators. Later sections explain Optional, streams, parallel streams, Map enhancements, the new Date and Time API, and annotations. Examples demonstrate filtering, mapping, sorting, reduction, and other common functional programming patterns. The repository is intended as a compact reference for developers moving from earlier Java versions to Java 8. -
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Transducers.jl
Efficient transducers for Julia
Transducers are transformations of "sequence" of input that can be composed very efficiently. The interface used by transducers naturally describes a wide range of processes that is expressible as a succession of steps. Furthermore, transducers can be defined without specifying the details of the input and output (collections, streams, channels, etc.) and therefore achieves a full reusability. Transducers are introduced by Rich Hickey, the creator of the Clojure language. His Strange Loop... -
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Isar Database
Extremely fast, easy to use, and fully async NoSQL database
...Made for Flutter. Easy to use, no config, no boilerplate. The sky is the limit. Composite & multi-entry indexes, query modifiers, JSON support etc. Asynchronous, parallel query operations & multi-isolate support by default. Open source. Everything is open source and free forever! -
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Thrust
The C++ parallel algorithms library
Thrust is the C++ parallel algorithms library which inspired the introduction of parallel algorithms to the C++ Standard Library. Thrust's high-level interface greatly enhances programmer productivity while enabling performance portability between GPUs and multicore CPUs. It builds on top of established parallel programming frameworks (such as CUDA, TBB, and OpenMP). -
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Nunjucks
A rich and powerful templating language for JavaScript
A powerful templating engine with inheritance, asynchronous control, and more (jinja2 inspired). You've been looking for a more sophisticated templating engine for JavaScript. Here it is. Rich Powerful language with block inheritance, autoescaping, macros, asynchronous control, and more. Heavily inspired by jinja2. Fast & Lean High-performant. Small 8K gzipped runtime with precompiled templates in the browser. Crazy extensible with custom filters and extensions. Everywhere available in node... -
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dft_installer.sh
Automated Installer for VASP, SIESTA, their libraries and utilities
Automated Installer for VASP, SIESTA, and their libraries and utilities for serial and parallel modes in a Linux environment. (dft_installer.sh) Gustavo Domínguez Rodríguez, Gabriel Iván Canto Santana, Jorge Alejandro Tapia Gonzalez, Cesar Alberto Cab Cauich High-performance scientific software is commonly compiled on the computing system, for optimizing it according to its specific characteristics. However, this compilation is often a tedious and limiting process, which frequently becomes an obstacle for its use. ... -
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cwdaemon
morse daemon for the serial or parallel port
This project is no longer actively developed on SourceForge. Its development has been fully moved to https://github.com/acerion/cwdaemon on 2024.08.03. ------ cwdaemon is a small daemon which uses the PC parallel or serial port and a simple transistor switch to output morse code to a transmitter from a text message sent to it via the udp internet protocol. The program uses the soundcard or PC speaker to generate a sidetone. Current version of cwdaemon is 0.12.0, it has been released in May 2023. Source code for cwdaemon is available on github: https://github.com/acerion/cwdaemon -
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WFEF .NET Bindings
.NET bindings for the WFEF project.
Home Browse Open Source WFIO .NET Bindings WFIO .NET Bindings .NET bindings for WFIO Status: Pre-Alpha Brought to you by: thylordroot Add a Review Downloads: 0 This Week Last Update: 2023-01-25 Browse Code Get Updates Share This Windows Mac Linux BSD ChromeOS Summary Reviews Support Code This subproject contains a parallel implementation effort for the .NET Virtual Machine. It allows for you to use the WFEF interface in your .NET applications and will include a translation layer so that you can talk to the native WFEF libraries. This subproject exists partially to overcome the 8.3 file naming convention that WFEF itself is limited to. -
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Sqlite Index Blaster
Create huge Sqlite indexes at breakneck speeds
SQLite Blaster is an advanced SQLite extension that enhances database performance by enabling multi-threading, data compression, and memory optimizations. It is designed for applications that require fast local storage with improved query efficiency. -
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Nginx-Clojure
Nginx module for embedding Clojure or Java or Groovy programs
...The non-blocking coroutine-based socket is Compatible with Java Socket API and works well with largely existing java libraries such as apache HTTP client, mysql jdbc drivers. With this feature, one java main thread can handle thousands of connections. Handle multiple sockets parallel in sub coroutines. -
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GPT-NeoX
Implementation of model parallel autoregressive transformers on GPUs
This repository records EleutherAI's library for training large-scale language models on GPUs. Our current framework is based on NVIDIA's Megatron Language Model and has been augmented with techniques from DeepSpeed as well as some novel optimizations. We aim to make this repo a centralized and accessible place to gather techniques for training large-scale autoregressive language models, and accelerate research into large-scale training. For those looking for a TPU-centric codebase, we... -
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ElegantRL
Massively Parallel Deep Reinforcement Learning
ElegantRL is an efficient and flexible deep reinforcement learning framework designed for researchers and practitioners. It focuses on simplicity, high performance, and supporting advanced RL algorithms.
