Search Results for "example" - Page 22
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Showing 3412 open source projects for "example"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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1
Nhost
The Open Source Firebase Alternative with GraphQL.
Get a database and backend configured and ready in minutes so you can focus on your app and on your users. Since Nhost is 100% open source, you can self-host the whole Nhost stack. Check out the example docker-compose file to self-host Nhost. Nhost consists of open source software, Database: PostgreSQL, Instant GraphQL API: Hasura, Authentication: Hasura Auth, Storage: Hasura Storage, Serverless Functions: Node.js (JavaScript and TypeScript), Nhost CLI for local development. Instant Realtime GraphQL API based on your tables and columns in the database. ... -
2
NG-ALAIN
NG-ZORRO admin panel front-end framework
...A set of higher-order business components, diagrams, authentication, authorization, caching, mocking, testing, etc. A complete, production-ready Angular scaffolding. A large number of example pages can be directly referenced and used. Contains NG-ALAIN Schematics, VSCODE plugin. Interaction language and visual style extracted from enterprise-level mid- and back-end products. Detailing functions to allow users to focus more on business. With the continuous feedback of the "designer", it will continue to iterate, gradually precipitate and summarize more design patterns and corresponding code implementations, and elaborate on the best practices of middle and back-end product templates/components/business scenarios, and I look forward to your participation. and co-build. -
3
handson-ml3
Fundamentals of Machine Learning and Deep Learning
...It guides readers through modern machine learning and deep learning workflows using Python, with examples spanning data preparation, supervised and unsupervised learning, deep neural networks, RL, and production-ready model deployment. The third edition updates the content for TensorFlow 2 and Keras, introduces new chapters (for example on reinforcement learning or generative models), and offers best-practice code that reflects current ecosystems. The notebooks are designed so you can run them locally or on Colab/online, making it accessible for learners regardless of infrastructure. The author includes solutions for exercises and sets up an environment specification so you can reproduce results. ... -
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Playground Cheatsheet for Python
Playground and cheatsheet for learning Python
learn-python is another repository by Oleksii Trekhleb that serves as both a playground and an interactive cheatsheet for learning Python. It contains numerous Python scripts organized by topic (lists, dictionaries, loops, functions, classes, modules, etc.), each with code examples, explanations, test assertions, and links to further readings. The design supports “learn by doing”: you can modify the code, run the tests, see how behavior changes, and thus internalize Python language features,... -
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Apache Drill
Apache Drill is a distributed MPP query layer for self describing data
...Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop. -
6
gopy
gopy generates a CPython extension module from a go package
...It also supports python modules having any number of Go packages, and generates a separate .py module file for each package, which link into a single common binding library. It has been tested extensively on reproducing complex Go code in large libraries -- most stuff "just works". For example, the GoGi GUI library is fully usable from python now (do make; make install in the python directory there, and try the examples/widgets/widgets.py demo). Callback methods from Go into Python now work: you can pass a python function to a Go function that has a function argument, and it will call the python function appropriately. -
7
Azure SDK for Python
Active development of the Azure SDK for Python
...Last stable versions of packages that have been provided for usage with Azure and are production-ready. These libraries provide you with similar functionalities to the Preview ones as they allow you to use and consume existing resources and interact with them, for example: upload a blob. They might not implement the guidelines or have the same feature set as the November releases. They do however offer wider coverage of services. A new set of management libraries that follow the Azure SDK Design Guidelines for Python are now available. -
8
dj-stripe
dj-stripe automatically syncs your Stripe Data to your local database
Dj-stripe is an extensible wrapper around the Stripe API that continuously syncs most of the Stripe Data to your local database as pre-implemented Django Models, out of the box! This allows you to use the Django ORM, in your code, to work with the data making it easier and faster! For example, if you need to interact with a customer subscription, you can use dj-stripe’s Subscription Model, in your code, to get the subscription data for that customer as well as the related models’ data too (if need be and potentially in 1 database query!) instead of making multiple slower and unreliable consecutive network calls only to parse through 1 or more of Stripe’s JSON like objects! ... -
9
IoTDB
Apache IoTDB
Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields. In the scene of factories, there... -
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10
ip-info-api
Free & Open IP Information API | A collection of free IP information
...Entries are grouped by capabilities such as self-IP lookup, arbitrary IP lookup, reverse regional queries, and simple IP-only responses. The documentation records request methods, parameters, CORS behavior, example responses, and whether individual services have stopped working. Many endpoints use simple GET requests and return JSON or similarly lightweight responses. The collection is continuously updated so developers can compare alternatives when public IP services change or disappear. -
11
AnalysisAVP
Encode decode, rgb yuv h264 aac flv mp4 rtmp
AnalysisAVP is a comprehensive educational repository focused on audio and video technology concepts, providing structured knowledge across multimedia systems and processing pipelines. It covers foundational topics such as encoding, decoding, color formats like RGB and YUV, and widely used codecs including H.264 and AAC. The project also explores media container formats like MP4 and FLV, along with streaming protocols such as RTMP and WebRTC, offering a broad understanding of media... -
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Open Agents
An open source template for building cloud agents
The Open Agents project is an experimental platform developed to explore the design and deployment of open, composable AI agents. It focuses on enabling developers to create agents that can collaborate, execute tasks, and interact with tools in a structured environment. The framework provides abstractions for agent communication, task orchestration, and tool integration, allowing multiple agents to work together toward shared objectives. It emphasizes openness and interoperability, making it... -
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Professional Services
Common solutions and tools developed by Google Cloud
...These solutions are intended to serve as blueprints that organizations can adapt and extend for their own needs rather than turnkey products. It also includes reusable utilities, helper scripts, and example architectures that demonstrate best practices for building scalable and maintainable systems on Google Cloud. -
14
Search with Lepton
Lightweight demo to build a conversational AI search engine quickly
...It retrieves information from supported search engines and uses that context to generate responses through a retrieval-augmented generation approach. The implementation is intentionally minimal, containing fewer than 500 lines of code while still providing a complete working example of an AI-powered search system. It includes both a backend service written in Python and a web interface that allows users to interact with the search engine in a conversational format. Developers can configure different search providers and language models through environment variables, making it flexible for experimentation and prototyping. -
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RAGHub
A community-driven collection of RAG
RAGHub is an open-source directory and knowledge hub dedicated to organizing tools, frameworks, and research resources related to Retrieval-Augmented Generation systems. The project was created to help developers navigate the rapidly expanding ecosystem of RAG technologies, where new frameworks and tools are constantly emerging. Instead of implementing a specific algorithm, RAGHub functions as a curated catalog that collects and categorizes RAG-related projects across multiple categories... -
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LLM-Finetuning
LLM Finetuning with peft
LLM-Finetuning is an open educational repository that provides practical notebooks and tutorials for fine-tuning large language models using modern machine learning frameworks. The project focuses on parameter-efficient fine-tuning methods such as LoRA and QLoRA, which allow large models to be adapted to new tasks without requiring full retraining. Instead of requiring specialized hardware or complex training pipelines, many examples are designed to run in cloud notebook environments such as... -
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Super comprehensive deep learning notes
Super Comprehensive Deep Learning Notes
Super comprehensive deep learning notes is a massive and well-structured collection of deep learning notebooks that serve as a comprehensive study resource for anyone wanting to learn or reinforce concepts in computer vision, natural language processing, deep learning architectures, and even large-model agents. The repository contains hundreds of Jupyter notebooks that are richly annotated and organized by topic, progressing from basic Python and PyTorch fundamentals to advanced neural... -
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PageIndex
Document Index for Vectorless, Reasoning-based RAG
...This reasoning-driven retrieval aligns more naturally with how humans explore complex texts, improving relevance and traceability, especially in professional domains like financial reports, legal contracts, and technical manuals. The project includes example notebooks, scripts for tree generation and search, and support for multiple document formats including PDF and markdown, with tools designed to preserve context and semantic boundaries. -
19
LatentMAS
Latent Collaboration in Multi-Agent Systems
LatentMAS is an advanced framework for multi-agent reinforcement learning (MARL) that uses latent variable modeling to bridge perception and decision-making in environments where agents must coordinate under uncertainty. It provides mechanisms for agents to learn high-level latent representations of states, which simplifies complex sensory inputs into compact, actionable embeddings that facilitate both individual policy learning and inter-agent coordination. Using this latent space, the... -
20
Flight rules for Git
Flight rules for git
...Rather than being a tutorial or beginner’s guide, it focuses on higher-leverage advice like how to recover lost commits, manage rebases safely, handle merge conflicts, and maintain a clean commit history. Each rule is written in a concise, example-oriented style so users can quickly understand what to do and why it matters when they encounter a specific situation. The repository serves as both a learning tool and a quick lookup for urgent scenarios, making Git less intimidating and more predictable. -
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ChinaTextbook
All primary, middle and high school, college PDF teaching materials
...It explicitly positions itself as a response to people reselling free resources with private watermarks, and as a way to support the broader mission of open education and reducing educational inequality across different regions. The repository structure is organized by school level and curriculum variant (for example, “小学”, “初中”, “高中”, and university, including special folders for five-four schooling systems), making it straightforward to find the appropriate grade and subject. -
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Docker-Zero-to-Hero
Repo to learn Docker with examples
Docker-Zero-to-Hero is a teaching repository focused on learning Docker via explanations and concrete examples rather than just a dry reference. It starts by explaining what containers are in plain language, then compares containers vs virtual machines in terms of resource utilization, portability, security, and management. The README and supporting markdown files (commands.md, networking.md, volumes.md) walk through core Docker concepts like images, containers, networking, and persistent... -
23
Rust Latam
Learn to write Rust procedural macros
This is a workshop/repository by the Rust developer David Tolnay (dtolnay) intended to teach how to write Rust procedural macros (derive macros, function-like macros, attribute macros). The repo contains multiple toy/realistic macro projects drawn from real use-cases: e.g., derive(Builder), derive(CustomDebug), seq!, #[sorted], #[bitfield]. The README indicates the focus is on learning: parsing token streams, generating code, handling generics, attribute arguments, etc. It has test harness... -
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Telos
Telos is an open-sourced framework for creating Deep Context
...It is structured so that you can document your purpose, link it to your strategies and metrics, and thereby maintain clarity and alignment over time. Although lightweight in implementation (for example a .md context file), its ambition is philosophical: helping actors live intentionally and track progress toward purpose. It aligns with broader themes of human flourishing and human-centred frameworks that Miessler discusses in his writing. -
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php-file-iterator
FilterIterator implementation that filters files
php-file-iterator is a small library that walks directory trees and yields files matching include/exclude rules, commonly used to discover test files. It supports filtering by suffixes or prefixes (for example, “Test.php”) to keep selection deterministic. Exclusion lists help you skip vendor directories, VCS folders, or generated artifacts that would otherwise slow down tools. The iterator interface means results are streamed rather than loaded at once, which keeps memory usage modest on large codebases. It also plays nicely with glob patterns and SPL iterators, so you can combine it with other filesystem utilities. ...
