Search Results for "tuning"
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Showing 17 open source projects for "tuning"
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LLM Course
Course to get into Large Language Models (LLMs)
LLM Course is a hands-on, notebook-driven path for learning how large language models work in practice, from data curation to training, fine-tuning, evaluating, and deploying. It emphasizes reproducible experiments: each step is demonstrated with runnable code, clear dependencies, and references to commonly used open-source models and libraries. Learners get exposure to multiple adaptation strategies—LoRA/QLoRA, instruction fine-tuning, and alignment techniques—so they can choose approaches that fit their hardware and budgets. ... -
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Steam Deck Guide
Learn all about the Tools, Accessories, Games, Emulators
...It begins with basic setup topics like installing updates, connecting peripherals, and configuring SteamOS settings, then progresses into intermediate skills such as managing storage, optimizing battery life, and fine-tuning performance profiles for demanding titles. Beyond official support scenarios, the guide dives into enthusiast territory: installing alternative operating systems (e.g., Linux distributions), setting up emulation for classic consoles, integrating game launchers outside the Steam ecosystem, and tweaking graphics drivers or Proton compatibility layers. -
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Open Source Vizier
Python-based research interface for blackbox
...A wide collection of objective functions and methods to benchmark and compare algorithms. Define a problem statement and study configuration. Setup a local server, setup a client to connect to the server, perform a typical tuning loop, and use other client APIs. -
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Roadmap To Learn Generative AI In 2025
Basic Machine Learning Natural Language Processing Roadmap
Roadmap To Learn Generative AI In 2025 is a curated learning path focused on contemporary generative AI — covering large language models (LLMs), diffusion-based image generation, prompt engineering, multi-modal AI, fine-tuning techniques, and the practical considerations for deploying generative models. It’s aimed at learners and developers who already have some programming or ML basics and wish to specialize in generative AI, offering a modern, structured plan that reflects the state of the art as of 2025. The roadmap outlines recommended topics, sequential steps, and associated resources (tutorials, notebooks, project ideas) to build competence in generative modeling from conceptual understanding to implementation and deployment. ... -
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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Rust Course
It has been the world's most popular language for 8 consecutive years
The Rust语言圣经 (Rust Language Bible) is a comprehensive, Chinese-language Rust tutorial that aims to take learners from beginner concepts to advanced mastery. The course is carefully designed with a structured catalog, vivid and approachable language, and an engaging style that avoids the dry and mechanical tone of many technical books. It covers the basics of Rust, such as ownership, borrowing, lifetimes, traits, and generics, but also dives deep into advanced topics like performance... -
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Think Python 2
LaTeX source and supporting code for Think Python, 2nd edition
...It also contains solutions or hints for many exercises so learners can check their work or explore alternative implementations. Because it’s educational, the repository emphasizes readability, clarity, and progressive learning rather than performance tuning or advanced constructs. -
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Recommenders
Best practices on recommendation systems
The Recommenders repository provides examples and best practices for building recommendation systems, provided as Jupyter notebooks. The module reco_utils contains functions to simplify common tasks used when developing and evaluating recommender systems. Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several... -
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Nootka
application to learn classical score notation.
Nootka helps understand the basics of music notation: reading and practicing playing musical scores. Long story short: the user plays notes (melody) displayed by the app, which then in real time checks if the notes was played correctly. The application is free and open source. It works under Windows, Linux, Mac and Android... -
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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... -
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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To Be Top Javaer
To Be Top Javaer - The Path to Becoming a Java Engineer
toBeTopJavaer is an open source knowledge base and learning roadmap designed to help developers become expert Java engineers. Created and maintained by Hollis, the project compiles a wide range of Java fundamentals, advanced features, and ecosystem knowledge into one structured guide. It covers core Java concepts, JVM internals, multithreading, frameworks, databases, system design, and interview preparation. The repository is presented in a structured, progressive format so learners can... -
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Summarize from Feedback
Code for "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 component, and the reinforcement learning (or preference-based fine-tuning) phase. The repo also includes utilities for dataset handling, modeling architectures, inference, and evaluation. ... -
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Deep Learning 500 Questions
500 Questions on Deep Learning using a question-and-answer format
...Later chapters explore classic neural network structures such as CNNs, RNNs, and GANs, as well as key applications in computer vision like object detection and image segmentation. The resource also delves into optimization methods, including transfer learning, network architecture design, hyperparameter tuning, model compression, and acceleration techniques. -
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Mastering Shiny
Mastering Shiny: a book
Mastering Shiny is a book (and its accompanying source repository) by Hadley Wickham that teaches people how to build interactive web applications using Shiny in R. It starts from basics (your first app, UI components, reactivity) and progresses to more advanced topics (dynamic UIs, modules, testing, security, performance). It is intended to help data scientists, analysts, or R users who may not have deep experience in web technologies become expert Shiny developers. The source code is open,... -
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Collective Mind Technology
plugin-based framework for systematic and reproducible experimentation
...This 3rd version (started in 2006) helps to implement, preserve, share and reproduce the whole experimental setup as connected modules and data. cM uses crowdsourcing to leverage knowledge and computational resources of multiple users. For example, it includes multi-objective GCC, LLVM and ICC auto-tuning scenarios using shared benchmarks, codelets, data sets, tools, and combined with classification and predictive models. cM includes OpenME interactive interface to open up and expose internals of various third-party tools such as GCC, LLVM, run-time systems, etc. and connect them to cM through dynamic plugins that allows online analysis and tuning of programs and architectures. ... -
15
JChords
JChords Guitar Chords and Tunings Library
JChords is a cross-platform, java based, guitar chord and tunings database. It is lightweight, and runs on any platform that has java. NOTE; Requires Java => 7 to run. -
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jackGuitar is a jack capture client which displays the given note you are playing (or could be) on a fretboard without any midi pickup. The UI uses gtk+/cairo, and offers some bells & whistles like changing the tuning or displaying scales & modes on the fretboard.
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Tapper is a music teaching tool for players of The Chapman Stick. The user selects the instrument's tuning, the key and the chord or scale they wish to play. Tapper will display the proper fingering for that chord or scale.
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