Search Results for "frameworks" - Page 80
Sort By:
Showing 8064 open source projects for "frameworks"
View related business solutions-
Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
1
OneFileLLM
Specify a github or local repo, github pull request
OneFileLLM is an open-source project designed to simplify the distribution and execution of large language model applications by packaging them into a single portable file. The concept behind the project is to eliminate the complexity normally associated with deploying AI systems, which often require multiple dependencies, frameworks, and configuration steps. Instead, the entire runtime environment, model interface, and application logic are bundled together into a single executable artifact. This design allows developers to share AI tools in a format that can be easily distributed and executed across different machines without complicated installation procedures. ... -
2
Aix-DB
Based on the LangChain/LangGraph framework
...The system is designed as a ChatBI solution that allows users to query datasets using natural language and receive structured insights, charts, and visualizations automatically. Built on frameworks such as LangChain and LangGraph, Aix-DB integrates retrieval-augmented generation and Text-to-SQL capabilities to convert user questions into executable database queries. The platform supports multiple types of data sources and provides an end-to-end pipeline that includes intent recognition, SQL generation, database execution, and visual presentation of results. ... -
3
LLMs-Zero-to-Hero
From nobody to big model (LLM) hero
...The repository presents a structured learning pathway that begins with fundamental concepts in machine learning and progresses toward advanced topics such as model pre-training, fine-tuning, and deployment. Rather than relying entirely on existing frameworks, the project encourages readers to implement important components themselves in order to gain a deeper understanding of how modern language models work internally. It includes explanations of dense transformer architectures, mixture-of-experts models, training pipelines, and techniques used in contemporary LLM development. -
4
MoBA
MoBA: Mixture of Block Attention for Long-Context LLMs
MoBA, short for Mixture of Block Attention, is an open-source research implementation of a novel attention mechanism designed to improve the efficiency of large language models processing extremely long contexts. The architecture adapts ideas from Mixture-of-Experts networks and applies them directly to the attention mechanism of transformer models. Instead of forcing each token to attend to every other token in the sequence, MoBA divides the context into blocks and dynamically routes... -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
5
Kernel Memory
Research project. A Memory solution for users, teams, and applications
Kernel Memory is an open-source reference architecture developed by Microsoft to help developers build memory systems for AI applications powered by large language models. The project focuses on enabling applications to store, index, and retrieve information so that AI systems can incorporate external knowledge when generating responses. It supports scenarios such as document ingestion, semantic search, and retrieval-augmented generation, allowing language models to answer questions using... -
6
KG-LLM-Papers
Papers integrating knowledge graphs (KGs) and large language models
KG-LLM-Papers is a curated academic resource that collects and organizes research papers exploring the intersection between knowledge graphs and large language models. The repository functions as a continuously updated index of scholarly work that investigates how structured knowledge representations can enhance the reasoning, factual accuracy, and interpretability of language models. It includes surveys, benchmark studies, and cutting-edge research that examine topics such as knowledge... -
7
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 Google Colab. ... -
8
Happy-LLM
Large Language Model Principles and Practice Tutorial from Scratch
Happy-LLM is an open-source educational project created by the Datawhale AI community that provides a structured and comprehensive tutorial for understanding and building large language models from scratch. The project guides learners through the entire conceptual and practical pipeline of modern LLM development, starting with foundational natural language processing concepts and gradually progressing to advanced architectures and training techniques. It explains the Transformer... -
9
MyPerf4J
High performance Java APM. Powered by ASM
MyPerf4J is an open source Java performance monitoring and profiling tool designed to help developers and operations teams analyze application behavior with minimal overhead. It focuses on providing lightweight yet high-precision metrics collection for method execution times, throughput, and latency, making it particularly useful in high-performance production environments. The project emphasizes low performance impact by using efficient time recording and aggregation techniques, allowing... -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
10
do - Dependency Injection
A dependency injection toolkit based on Go 1.18+ Generics
...It also includes lifecycle management features like health checks and graceful shutdown handling, making it suitable for production services and microservices. Overall, samber/do delivers a modern, generics-powered alternative to traditional reflection-based DI frameworks in Go. -
11
Oat UI
Ultra-lightweight, zero dependency, semantic HTML, CSS, JS UI library
Oat is an ultra-lightweight front-end UI library designed to automatically style semantic HTML using minimal CSS and JavaScript with zero external dependencies. The project focuses on simplicity and performance, allowing developers to create clean, modern interfaces without relying on heavy frameworks or complex build systems. Oat works by applying sensible default styling directly to standard HTML elements, meaning developers can achieve polished layouts with little to no custom classes. Its small footprint makes it especially attractive for static sites, documentation, prototypes, and low-overhead web applications. The library can be installed via npm, CDN, or direct download, making it flexible across different development workflows. ... -
12
raygui
A simple and easy-to-use immediate-mode gui library
...Because the library is distributed as a single header file containing both declarations and implementations, including it in a project is simple and doesn’t require complex build configurations. raygui supports a wide range of controls and customization options for colors, fonts, and layout metrics, and also includes a built-in set of 1-bit icons that can be embedded into controls. It’s intended for tools development, rapid GUIs for editors or debug interfaces, and simple applications that need basic UI without heavy frameworks. -
13
Cube Studio
Cube Studio open source cloud native one-stop machine learning
Cube Studio is an open-source, cloud-native end-to-end machine learning and AI platform designed to support the full lifecycle of AI development — from data preparation and interactive notebook coding to distributed training, model tuning, and deployment in production-ready environments. It provides a unified interface where teams can manage data sources, track datasets, and build pipelines using drag-and-drop workflow orchestration, making it accessible for both engineers and data... -
14
Agentic Data Scientist
An end-to-end Data Scientist
...The framework supports interoperability with existing data tools and libraries, letting the agents leverage libraries like pandas, scikit-learn, and visualization frameworks to perform real computations rather than mock demonstrations. -
15
Open Wearables
Self-hosted platform to unify wearable health data
...This approach allows users to break free from manufacturer lock-in while enabling richer, customizable dashboards, real-time visualizations, and personalized health analytics that match real-world needs rather than a one-size-fits-all model. It provides building blocks for federated data storage, modular device drivers, and plugin frameworks so contributions from different communities can extend capabilities without rewriting core logic. -
16
TailwindSQL
TailwindSQL lets you write SQL queries using Tailwind-style class name
TailwindSQL is an experimental library that lets developers write SQL queries using Tailwind-style class names, essentially turning database queries into declarative class attributes that can be used directly in frameworks like React Server Components. Inspired by the simplicity and utility of Tailwind CSS, TailwindSQL allows developers to describe database queries using a familiar syntax such as db-table-column-where-field-value, collapsing traditional SQL into readable, utility-driven structures that map directly to data fetches. When used in React Server Components, these class-style queries are parsed and executed at render time with zero client-side JavaScript, letting you fetch and render data without writing SQL strings explicitly. ... -
17
nanocode
Minimal Claude Code alternative. Single Python file, zero dependencies
...The project exemplifies how lightweight architectures can still support practical agent workflows without complex infrastructure, making it suitable for developers exploring agent frameworks or building custom coding assistants. -
18
Engram
A New Axis of Sparsity for Large Language Models
Engram is a high-performance embedding and similarity search library focused on making retrieval-augmented workflows efficient, scalable, and easy to adopt by developers building search, recommendation, or semantic matching systems. It provides utilities to generate embeddings from text or other structured data, index them using efficient approximate nearest neighbor algorithms, and perform real-time similarity queries even on large corpora. Engineered with speed and memory efficiency in... -
19
MongoDB PHP Library
The Official MongoDB PHP library
The MongoDB PHP Library is the official high-level library that lets PHP applications interact with MongoDB using a modern, expressive API. It provides object-oriented classes for databases, collections, queries, and operations, so PHP developers can compose CRUD and aggregation pipelines without writing low-level protocol code. Built on top of the underlying MongoDB PHP extension, the library handles serialization, connection pooling, and error handling in a way that feels natural in... -
20
Christmas Tree
Just a simple Christmas tree, based on reddit story
...Because tree structures are ubiquitous in computing—from file systems and organizational charts to DOM structures and evolutionary taxonomies—atree provides a reusable foundation for representing and interacting with nested data. It separates the logical model from rendering concerns, so you can use it as the data backbone in UI frameworks, graphs, or custom visual components. The library’s API makes it easy to add, remove, or move nodes anywhere in the hierarchy while maintaining consistent references and performance. -
21
Simplenote for macOS
Simplenote for Mac
Simplenote for macOS is the official native macOS application for the Simplenote service, giving Apple computer users a dedicated environment to write, organize, and sync notes with the same simplicity found on other platforms. Built using macOS frameworks and powered by the Simperium synchronization protocol, it ensures that any text or Markdown notes you create are automatically backed up and kept in sync with Android, iOS, web, and other clients. The app supports fast searching and tagging so users can keep large collections of notes orderly, and has features like history or revision views to recover previous edits. macOS integration means users benefit from keyboard shortcuts, native window management, and system services like Spotlight search to find notes instantly. ... -
22
Hotkeys JS
A robust Javascript library for capturing keyboard input
hotkeys-js is a tiny, framework-agnostic library for binding keyboard shortcuts in the browser, from simple key presses to complex combos and sequences. It provides a declarative API to register handlers like ctrl+k, shift+alt+p, or g g, and it normalizes key behavior across major browsers. The library includes scoping, so the same shortcut can trigger different actions depending on page context, and it offers filters to ignore inputs when the user is typing in form fields. You can enable or... -
23
GuitarPedal
Linus learns analog circuits
GuitarPedal is an experimental repository exploring a digital guitar-effects signal chain implemented with lean, low-level code. The project demonstrates how to read audio input, process it through simple transformations, and write the result out in real time with minimal latency. It emphasizes straightforward, inspectable DSP so developers can follow the math and tweak parameters without a giant framework in the way. The codebase favors portability and simplicity, focusing on a handful of... -
24
llm.c
LLM training in simple, raw C/CUDA
llm.c is a minimalist, systems-level implementation of a small transformer-based language model in C that prioritizes clarity and educational value. By stripping away heavy frameworks, it exposes the core math and memory flows of embeddings, attention, and feed-forward layers. The code illustrates how to wire forward passes, losses, and simple training or inference loops with direct control over arrays and buffers. Its compact design makes it easy to trace execution, profile hotspots, and understand the cost of each operation. ... -
25
Context7 Platform
Up-to-date code documentation for LLMs and AI code editors
...It’s designed to integrate with tools that support the Model Context Protocol (MCP), such as Cursor, Windsurf, and other LLM clients. When a user writes a prompt and appends something like “use context7,” the system detects the libraries or frameworks being asked about, fetches the latest docs/snippets from the source repositories, filters and packages relevant context, and injects them into the LLM’s prompt to guide it toward accurate, up-to-date code. The upstream codebase provides an MCP server implementation, enabling clients to easily interface with the Context7 service over standard channels (HTTP, stdio) and treat it as an external “knowledge tool.”