Search Results for "optimize" - Page 9
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Showing 444 open source projects for "optimize"
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CryoUtilities
A utility to improve performance and help manage storage on Steam Deck
The CryoUtilities repository is a collection of scripts and graphical utilities developed to help Steam Deck owners optimize the performance of their handheld gaming systems and manage storage more easily under SteamOS (and other Linux distributions in a best-effort manner). It provides tools to tweak memory management parameters such as swap size and swappiness, adjust HugePages and kernel memory behaviors, and free up space by cleaning leftover game data, shader caches, and compatibility data for uninstalled titles. ... -
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Chinese-LLaMA-Alpaca 2
Chinese LLaMA-2 & Alpaca-2 Large Model Phase II Project
...It is the second phase of the Chinese LLaMA&Alpaca large model project. The Chinese LLaMA-2 base model and the Alpaca-2 instruction fine-tuning large model are open-sourced. These models expand and optimize the Chinese vocabulary on the basis of the original Llama-2, use large-scale Chinese data for incremental pre-training, and further improve the basic semantics and command understanding of Chinese. Performance improvements. The related model supports FlashAttention-2 training, supports 4K context and can be extended up to 18K+ through the NTK method. -
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SuperAGI
A dev-first open source autonomous AI agent framework
...Connect to multiple Vector DBs to enhance your agent’s performance. Each agent is unique, use different models of your choice. Get insights into your agent’s performance and optimize accordingly. Control token usage to manage costs effectively. Enable your agents to learn and adapt by storing their memory. Get notified when agents get stuck in the loop, and provide proactive resolution. Read and store files generated by Agents. -
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ZeroStep
Supercharge your Playwright tests with AI
ZeroStep is a tool that enhances Playwright tests with AI capabilities, aiming to improve the efficiency and effectiveness of end-to-end testing. -
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towhee
Framework that is dedicated to making neural data processing
Towhee is an open-source machine-learning pipeline that helps you encode your unstructured data into embeddings. You can use our Python API to build a prototype of your pipeline and use Towhee to automatically optimize it for production-ready environments. From images to text to 3D molecular structures, Towhee supports data transformation for nearly 20 different unstructured data modalities. We provide end-to-end pipeline optimizations, covering everything from data decoding/encoding, to model inference, making your pipeline execution 10x faster. ... -
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Unimported
Find and fix dangling files and unused dependencies
A command-line tool that helps identify and remove unused files and dependencies in JavaScript/TypeScript projects. -
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XAgent
An Autonomous LLM Agent for Complex Task Solving
XAgent is an AI-driven autonomous agent framework capable of handling multi-step tasks across different domains. It enables AI agents to perform decision-making, task planning, and self-learning based on user-defined objectives, making it ideal for automation and research applications. -
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Image Binder
Image Binder - Images-To-PDF Conversion
Introduction Welcome to Image Binder, a versatile application crafted for effortlessly converting and binding multiple images into a single PDF document. Whether you're organizing your image collection or creating professional portfolios, this tool provides a seamless solution with features designed to enhance your experience. -
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fastquant
Backtest and optimize your ML trading strategies with only 3 lines
fastquant is a Python library designed to simplify quantitative financial analysis and algorithmic trading strategy development. The project focuses on making backtesting accessible by providing a high-level interface that allows users to test investment strategies with only a few lines of code. It integrates historical market data sources and trading frameworks so that users can quickly build experiments without constructing complex data pipelines. The framework enables users to test common... -
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Summarize from Feedback
Code for "Learning to summarize from human feedback"
The summarize-from-feedback repository implements the methods from the paper “Learning to Summarize from Human Feedback”. Its purpose is to train a summarization model that better aligns with human preferences by first collecting human feedback (comparisons between summaries) to train a reward model, and then fine-tuning a policy (summarizer) to maximize that learned reward. The code includes different stages: a supervised baseline (i.e. standard summarization training), the reward modeling... -
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Trex Package Manager
Package Manager for deno
Trex is a package manager tailored for the Deno runtime, offering a streamlined approach to managing dependencies and scripts. It emphasizes simplicity and adheres to Deno's philosophy by utilizing a single import_map.json file to manage module imports. Trex introduces the Reboot Script Alias Protocol (RSAP), enabling scripts to automatically reload upon file changes, enhancing the development workflow. -
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Grafana Phlare
Continuous profiling aggregation system
Phlare is a Grafana project focused on storing and querying continuous profiling data, helping developers monitor resource usage and optimize application performance. -
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Kui
A hybrid command-line/UI development experience for cloud-native devs
Raven is a open source desktop news reader with flexible settings to optimize your experience. No login is required, and no personal data is collected. Just select the websites you want to curate articles from and enjoy! Raven strips away all the distracting content from the original articles, annoying ads, banners, and awkward layouts. You control how Raven displays the content. Choose a theme you love. -
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OptiMate
Libraries for optimizing AI models, inference speed, and GPU usage
Optimate is an open source collection of libraries designed to optimize the performance and cost efficiency of artificial intelligence models across different stages of the machine learning lifecycle. It groups several internal optimization tools developed by Nebuly AI into a single repository that focuses on improving inference speed, reducing infrastructure usage, and streamlining model training workflows. -
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Ultra NPM
JavaScript package manager
Ultra is a modern, high-performance package manager designed as an alternative to npm, Yarn, and pnpm. It focuses on speed, efficiency, and security while improving dependency management. -
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Brunch
Web applications made easy
...Grunt / Gulp commands replicate all plugins it loads. Brunch always has three commands: new, build and watch. Build / watch commands may receive optional production flag which will tell Brunch to optimize assets, javascripts and stylesheets. -
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Windows-Optimize-Harden-Debloat-GUI
C# Based GUI for Windows-Optimize-Harden-Debloat
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Horizon's Auto Clicker
Don't click by yourself. Let us do it for you. No need to optimize.
With this application you will save lots of time. It's free forever. No need to optimize like other auto clicker applications. This program made by: UfukGames -
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Horizon's Macro
Don't click by yourself. Let us do it for you. 15 CPS guarantee.
With this application you will save lots of time. It's free forever. No need to optimize like other macro applications. This program made by: UfukGames -
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LightSeq
A High Performance Library for Sequence Processing and Generation
Lightseq is a high-performance library focused on efficient inference and training for deep learning models, especially large language models (LLMs) and transformer-based architectures. Its goal is to optimize both memory usage and computational throughput, enabling faster training or inference on limited hardware while maintaining model quality. Lightseq provides optimized CUDA kernels, quantization strategies, and runtime optimizations tailored for transformer operations — which often are bottlenecks in conventional frameworks — thereby reducing memory footprint, improving speed, and making deployment of large-scale models more accessible. ... -
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EnCodec
State-of-the-art deep learning based audio codec
...Unlike traditional codecs (like MP3 or Opus), Encodec uses a learned quantizer and decoder to reconstruct complex waveforms with remarkable accuracy at bitrates as low as 1.5 kbps. It employs a convolutional encoder–decoder architecture trained with perceptual loss functions that optimize for human auditory quality rather than raw waveform distance. The model can operate in real time and supports variable bandwidths, bitrates, and multi-band audio. Encodec has applications in speech and music compression, generative modeling, and efficient data transmission for communication systems. The repository includes pretrained checkpoints, PyTorch inference code, and examples for integrating Encodec as a module in downstream generative or streaming systems. -
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Apache TVM
TVM Documentation in Chinese Simplified
tvm-cn is a community-driven project that provides Chinese documentation for the Apache TVM deep learning compiler stack. Apache TVM is an open-source system designed to optimize and deploy machine learning models efficiently across different hardware platforms such as CPUs, GPUs, and ARM devices. The goal of the repository is to centralize translated learning materials and technical documentation so that Chinese-speaking developers can study the TVM ecosystem more easily. The project translates official TVM guides and organizes them into structured documentation that explains how to compile, optimize, and deploy deep learning models on heterogeneous hardware architectures. ... -
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NBMiner
GPU Miner for ETH, RVN, BEAM, CFX, ZIL, AE, ERGO
...Add support for mining SERO, algo progpow_sero. Change devfee in percentage, [0-5]. Set to ‘0’ to turn off devfee with lower hash rate. Otherwise, devfee = max(set_value, default_value). Memory timings optimize for Nvidia GDDR5 & GDDR5X gpus. range [1-6]. Higher value equals higher hashrate. Individual value can be set via comma seperated list. Power limit may need to be tuned up to get more hashrate. Higher reject share ratio can happen if mining rig hits high temperature, set lower value of -mt can reduce reject ratio.