Search Results for "speedup"
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Showing 72 open source projects for "speedup"
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Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Fast Paginate for Laravel
A fast implementation of offset/limit pagination for Laravel.
This is a fast limit/offset pagination macro for Laravel. It can be used in place of the standard paginate methods. This package uses a SQL method similar to a "deferred join" to achieve this speedup. A deferred join is a technique that defers access to requested columns until after the offset and limit have been applied. In our case we don't actually do a join, but rather a where in with a subquery. Using this technique we create a subquery that can be optimized with specific indexes for maximum speed and then use those results to fetch the full rows. -
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Thanos
Highly available Prometheus setup with long term storage capabilities
...Supports GCP, S3, Azure, Swift and Tencent COS. Use the same tools you love, such as Grafana and others, that support the Prometheus Query API. Downsample historical data for massive query speedup when querying large time ranges or configure complex retention policies. Thanos leverages the Prometheus 2.0 storage format to cost-efficiently store historical metric data in any object storage while retaining fast query latencies. Additionally, it provides a global query view across all Prometheus installations and can merge data from Prometheus HA pairs on the fly. -
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MiniCPM4.1
Achieving 3+ generation speedup on reasoning tasks
MiniCPM4.1 is an enhanced iteration of the MiniCPM4 architecture, introducing improvements in reasoning capabilities, inference speed, and hybrid operation modes that allow dynamic switching between deep reasoning and standard generation. It builds upon the same efficiency-focused philosophy but further optimizes decoding performance, achieving substantial speed gains in reasoning-intensive tasks while maintaining high-quality outputs. One of its key innovations is the hybrid reasoning mode,... -
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EARTHLY
The effortless CI/CD framework that runs anywhere
Share compute and cache with Earthly Satellites. Build remotely from the comfort of your terminal. Satellites use the code in your current directory, stream logs back to you in real time, and output results (images, artifacts) back to your laptop. When used from a CI, Earthly Satellites can be used to speed up builds, as the cache is retained between runs. Earthly was engineered for readability. Most engineers are able to read an Earthfile without any prior knowledge. We took some of the... -
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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Modin
Scale your Pandas workflows by changing a single line of code
...Modin acts as a drop-in replacement for pandas, which means that you can continue using your previous pandas notebooks, unchanged, while experiencing a considerable speedup thanks to Modin, even on a single machine. Once you’ve changed your import statement, you’re ready to use Modin just like you would pandas. -
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ispc
Intel SPMD Program Compiler
...Under the SPMD model, the programmer writes a program that generally appears to be a regular serial program, though the execution model is actually that a number of program instances execute in parallel on the hardware. ispc compiles a C-based SPMD programming language to run on the SIMD units of CPUs and GPUs; it frequently provides a 3x or more speedup on architectures with 4-wide vector SSE units and 5x-6x on architectures with 8-wide AVX vector units, without any of the difficulty of writing intrinsics code. Parallelization across multiple cores is also supported by ispc, making it possible to write programs that achieve performance improvement that scales by both numbers of cores and vector unit size. ... -
7
AIMET
AIMET is a library that provides advanced quantization and compression
...Quantized inference is significantly faster than floating point inference. For example, models that we’ve run on the Qualcomm® Hexagon™ DSP rather than on the Qualcomm® Kryo™ CPU have resulted in a 5x to 15x speedup. Plus, an 8-bit model also has a 4x smaller memory footprint relative to a 32-bit model. However, often when quantizing a machine learning model (e.g., from 32-bit floating point to an 8-bit fixed point value), the model accuracy is sacrificed. -
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Bend
A massively parallel, high-level programming language
Bend is an interactive programming environment (REPL) built on top of the Kotlin language, designed to allow users to explore, experiment, and learn Kotlin in a live, feedback-driven manner. The tool lets you define variables, functions, or values at the prompt and iteratively refine them—immediately seeing output and types—while preserving state across commands. It emphasizes discoverability and experimentation: users can inspect functions, call them on sample inputs, and evolve logic... -
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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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Apache OpenOffice
The free and Open Source productivity suite
Free alternative for Office productivity tools: Apache OpenOffice - formerly known as OpenOffice.org - is an open-source office productivity software suite containing word processor, spreadsheet, presentation, graphics, formula editor, and database management applications. OpenOffice is available in many languages, works on all common computers, stores data in ODF - the international open standard format - and is able to read and write files in other formats, included the format used by the... -
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CPing
Ping Utility
Easy ping your server for speedup -
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OptimWin Batch
Batch to Speedup Windows (XP-11) settings and utilities collection
https://sourceforge.net/p/optimwin-batch/ OptimWin by isidrococo at gmail This has a collection of utilities and mainly a big batch to automatically optimize and disable a huge amount of settings (Scheduled Tasks, LOGs, Services, delete Temp/Caches, etc) for Windows XP or later. Also includes a bunch of utilities, all decompressed at C:\UT Install: Decompress to a folder: 7.exe, 7z.dll, OptimWinInst.BAT, UT1.ZIP and [UT2.7z] Execute OptimWinInst.bat (some browsers deletes ".bat"... -
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KDeep
AI assistent plugin for Kate editor
... 👽 Alternatively, you can 👾download https://github.com/nomic-ai/gpt4all and select any pre-made models to download (large sizes) and use it locally and freely, but this will also require your own powerful hardware. Next 🛸alternative is https://github.com/RightNow-AI/picolm, may be it add speedup for your hardware. -
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director-ai
Real-time LLM hallucination guardrail — NLI + RAG fact-checking
...Core capabilities: - Token-level streaming halt: stops generation the moment hallucination is detected - NLI scoring via DeBERTa/FactCG: 75.8% balanced accuracy on 29,320 LLM-AggreFact samples - RAG knowledge grounding: vector store integration with Chroma, FAISS, Pinecone, Weaviate, Qdrant, Elasticsearch - 14.6ms GPU latency (GTX 1060, ONNX), 0.5ms/pair on L40S FP16 - Rust-accelerated BM25 (10.2x speedup) and signal processing Integrations: LangChain, LlamaIndex, LangGraph, CrewAI, Haystack, DSPy, Semantic Kernel, SDK Guard (OpenAI/Anthropic/Bedrock/Gemini/Cohere) Domain presets: medical, finance, legal, customer support, summarisation, creative Security: Sigstore-signed, SLSA provenance, OpenSSF Best Practices (100%), AGPL-3.0 with commercial licensing pip install director-ai https://github.com/anulum/director-ai -
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XBNF Neurotranslator compiler
(X)BNF simple and clever translation grammar compiler
XBNF Neurotranslator is a powerfull extended BNF grammar language to handle translations easily and many features to handle different kind of situations. This project is for common arch binaries, C++ sources, tests & support tickets. No installation, juste get binary for your architecture : > See [Files] > binary.{version} Library of smart samples of grammars> https://sourceforge.net/projects/xbnf/ Docker image which embeds the Linux/64bits binary and the... -
16
Clipstitch
Uility to make home movies from your digital camera files
...You can put Clipstitch commands into a text file and run as a script or type them in manually at a prompt. You can: Select portions of motion files with optional fades/slowmo/speedup, reverse play backwards. Adjust clip order. Concatenate to make your final "movie". V5.5 introduced captions, and special effects features. -
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KiTTY++
new take on KiTTY windows ssh-client
KiTTY++ is an even more feature-rich fork of PuTTY, the free Windows SSH/Telnet client. This branch is a forward-port of old KiTTY features and a lote more onto current PuTTY 0.85 — so you get KiTTY's extras on top of a modern, security-patched PuTTY core. -
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Pus
Computer speedup and hardening and debloating script
⭐ About Pus Pus is a tool developed by me. (PusPC) I also created some more tools. Pus is a computer speedup and hardening and debloating script. ⭐ Give it a review Give it a try if you care about your privacy and computer speed. Please give it a review so i can know what to add/fix. ⭐ Github Github link: https://github.com/PusPC/Pus -
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GLM-130B
GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
GLM-130B is an open bilingual (English and Chinese) dense language model with 130 billion parameters, released by the Tsinghua KEG Lab and collaborators as part of the General Language Model (GLM) series. It is designed for large-scale inference and supports both left-to-right generation and blank filling, making it versatile across NLP tasks. Trained on over 400 billion tokens (200B English, 200B Chinese), it achieves performance surpassing GPT-3 175B, OPT-175B, and BLOOM-176B on multiple... -
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ToMe (Token Merging)
A method to increase the speed and lower the memory footprint
ToMe (Token Merging) is a PyTorch-based optimization framework designed to significantly accelerate Vision Transformer (ViT) architectures without retraining. Developed by researchers at Facebook (Meta AI), ToMe introduces an efficient technique that merges similar tokens within transformer layers, reducing redundant computation while preserving model accuracy. This approach differs from token pruning, which removes background tokens entirely; instead, ToMe merges tokens based on feature... -
21
zld
A faster version of Apple's linker
...This project is a fork of the Apple linker, ld. It is a drop-in replacement that can substantially speed things up. It all depends on your risk tolerance and how much you value the speedup in incremental build time. When linking takes more than one second, I'd cut that time in half as the estimated time with this new linker. If that difference is compelling to you, then it'd be worth trying out. Personally, I'd use it in projects with an existing link time of even 500ms (but I am an impatient tinkerer). zld is forked from the most recently open-sourced version of ld. ... -
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ThreadsX.jl
Parallelized Base functions
Add prefix ThreadsX. to functions from Base to get some speedup, if supported. The reduce-based functions support any collections that implement SplittablesBase.jl interface including arrays, Dict, Set, and iterator transformations. In particular, these functions support iterator comprehension. ThreadsX.jl is aiming at providing API compatible with Base functions to easily parallelize Julia programs. -
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JuliaCall for Seamless Integration of R
Embed Julia in R
Package JuliaCall is an R interface to Julia, which is a high-level, high-performance dynamic programming language for numerical computing. Below is an image for Mandelbrot set. JuliaCall brings more than 100 times speedup of the calculation. -
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fastPTOptimizer
a fork of the Panorama Tools / libpano13 with a fast PTOptimizer
...However if you have a large number of images (several hundrets or more than thousand) and control points, PTOptimizer typically needs much time (up to several days) for the optimization of the parameters. fastPTOptimizer decreases the processing time for large panoramas (a speedup factor of 100 or more can be achieved). This is possible by exploiting the sparseness of the mathematical optimization problem. The original PTOptimizer uses the well proven Levenberg Marquardt optimizer lmdif from the minpack software. fastPTOptimizer uses a "sparse" optimizer lmdif_sparse that uses the SuiteSparse library. -
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Hugin++
a fork of the Hugin project with a fast geometric optimizer
...However if you have a large number of images (several hundrets or more than thousand) and many control points, the optimization typically needs much time (up to several days). With Hugin++ the time for the geometric optimization of large panoramas decreases (a speedup factor of 100 or more can be achieved). Hugin++ is not linked with the original libpano library; instead it it is linked with the fastPTOptimizer library.
