Search Results for "transfer function model" - Page 4
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Showing 297 open source projects for "transfer function model"
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ChatGPT Java API
Java SDK for seamless integration with ChatGPT APIs
ChatGPT-Java is a Java SDK created by PlexPt that offers a convenient, out-of-the-box integration with the OpenAI ChatGPT API (including models like GPT-4o, GPT-5) for Java applications. The library supports chat completions, token counting, function calls, streaming responses, proxy configuration, custom API host, and integration with frameworks such as Spring (via SseEmitter). It abstracts the HTTP interaction and JSON parsing into simple Java objects and builders while handling details like token usage and model selection. It is published to Maven Central under the group com.github.plexpt, e.g., version 5.0.1. ... -
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Stagehand
An AI web browsing framework focused on simplicity and extensibility
...The goal of Stagehand is to provide a lightweight, configurable framework, without overly complex abstractions, as well as modular support for different models and model providers. It's not going to order you a pizza, but it will help you reliably automate the web. Each Stagehand function takes in an atomic instruction, such as act("click the login button") or extract("find the red shoes"), generates the appropriate Playwright code to accomplish that instruction, and executes it. -
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Boulder
An ACME-based certificate authority, written in Go
...The ACME protocol allows the CA to automatically verify that an applicant for a certificate actually controls an identifier, and allows domain holders to issue and revoke certificates for their domains. Boulder is the software that runs Let's Encrypt. This component model lets us separate the function of the CA by security context. The Web Front End, Validation Authority, OCSP Responder and Publisher need access to the Internet, which puts them at greater risk of compromise. The Registration Authority can live without Internet connectivity, but still needs to talk to the Web Front End and Validation Authority. ... -
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Code-Mode
Plug-and-play library to enable agents to call MCP and UTCP tools
Code-Mode is a plug-and-play library that lets AI agents call tools by executing TypeScript (or via a Python wrapper) instead of making many individual function calls. Its core philosophy is that language models are very good at writing code, so rather than exposing hundreds of separate tool endpoints, you give the model a single “code execution” tool that has access to your full toolkit through code. This approach can dramatically reduce the number of tool-call iterations needed in complex workflows, turning multi-step call chains into a single code execution with internal branching and loops. ... -
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Neuron AI
The PHP Agentic Framework to build production-ready AI driven apps
...It is designed for developers who want to create systems such as RAG pipelines, multi-agent workflows, and business process automations without having to hand-build every integration from scratch. The framework provides an Agent class that can be extended to inherit core capabilities like memory, tools, function calling, and retrieval-augmented generation. Its design is modular, so developers can swap model providers with minimal changes to their application code, which makes it practical for teams that need flexibility across vendors. The project also supports structured output, monitoring, MCP connectivity, and workflow patterns that include human-in-the-loop intervention when automated flows need review or correction. -
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ispc
Intel SPMD Program Compiler
ispc is a compiler for a variant of the C programming language, with extensions for single programs, and multiple data programming. 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... -
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Dive
Dive is an open-source MCP Host Desktop Application
Dive is an open‑source MCP host desktop application that serves as a bridge between MCP servers and any large language models supporting function calling, designed to deliver a seamless AI agent experience across environments. Compatible with ChatGPT, Anthropic, Ollama and OpenAI-compatible models. Enabling seamless MCP AI agent integration on both stdio and SSE mode. One-click access to managed MCP servers via OAPHub.ai - eliminates complex local deployments. Modern Tauri version alongside... -
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Z-BlogPHP
Z-BlogPHP blog program
Z-BlogPHP is a blog program provided by the Z-Blog community and has been committed to providing excellent blog writing experience to domestic users. The first edition has been released since 2005 and has a history of 18 years. It is one of the few open-source CMS systems that continue to provide updates in China. Our goal is to immerse users in writing and record life, without paying attention to cumbersome settings, etc., and let users focus on creation. For users, it is simple and easy to... -
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InsForge
InsForge is the backend built for AI-assisted development
InsForge is an open-source backend development platform designed specifically for AI-assisted or agent-driven application development, positioning itself as an agent-native alternative to tools like Supabase by exposing backend primitives (auth, database, storage, serverless functions, and AI integrations) in a way that intelligent agents can understand, reason about, and act upon directly. Rather than forcing developers to manually cobble together authentication flows, database schemas,... -
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SpaceWasm
A flight-compliant WebAssembly interpreter
SpaceWasm is a NASA JPL WebAssembly interpreter designed for resource-constrained spacecraft systems. It implements a constrained form of the WebAssembly 1.0 specification for executing portable onboard programs. A streaming decoder reads modules in chunks, validates them in one pass, and converts instructions into an interpretation-focused intermediate representation. Its custom memory model uses fixed-size pages to provide deterministic allocation behavior and avoid panic on allocation... -
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Lithops
A multi-cloud framework for big data analytics
Lithops is an open-source serverless computing framework that enables transparent execution of Python functions across multiple cloud providers and on-prem infrastructure. It abstracts cloud providers like IBM Cloud, AWS, Azure, and Google Cloud into a unified interface and turns your Python functions into scalable, event-driven workloads. Lithops is ideal for data processing, ML inference, and embarrassingly parallel workloads, giving you the power of FaaS (Function-as-a-Service) without... -
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DynamicHMC
Implementation of robust dynamic Hamiltonian Monte Carlo methods
Implementation of robust dynamic Hamiltonian Monte Carlo methods in Julia. In contrast to frameworks that utilize a directed acyclic graph to build a posterior for a Bayesian model from small components, this package requires that you code a log-density function of the posterior in Julia. Derivatives can be provided manually, or using automatic differentiation. Consequently, this package requires that the user is comfortable with the basics of the theory of Bayesian inference, to the extent of coding a (log) posterior density in Julia. ... -
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Fyrox
3D and 2D game engine written in Rust
...Built-in save/load, save or load entire state of the engine in one call. Full-featured scene graph with various nodes (pivot, camera, mesh, light, particle system, sprite). High-quality binaural sound with Head-Related Transfer Function (HRTF) support. Standalone scene editor makes scenes in native engine format using the power of rusty editor. Rigid bodies, rich set of various colliders, joints, ray casting, etc. -
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Benthos
Fancy stream processing made operationally mundane
...It comes with a powerful mapping language, is easy to deploy and monitor, and ready to drop into your pipeline either as a static binary, docker image, or serverless function, making it cloud native as heck. Delivery guarantees can be a dodgy subject. Benthos processes and acknowledges messages using an in-process transaction model with no need for any disk persisted state, so when connecting to at-least-once sources and sinks it's able to guarantee at-least-once delivery even in the event of crashes, disk corruption, or other unexpected server faults. ... -
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SageAttention
NeurIPS2025 Spotlight] Quantized Attention
...Since attention operations are often the most computationally expensive component of modern AI models, SageAttention introduces quantization techniques that significantly reduce computational overhead while preserving model accuracy. The system achieves this by using low-precision numerical formats such as INT4, FP8, or INT8 to represent key matrices within the attention computation. These optimizations allow models to perform matrix operations faster and consume less memory during inference. SageAttention is designed to function as a plug-and-play replacement for standard attention implementations, enabling developers to accelerate existing models without modifying their architecture. -
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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 network designs like ResNet, transformers, and object detection algorithms. It’s not just a dry code repository; it includes theoretical explanations alongside hands-on examples, loss function explorations, optimization routines, and full end-to-end experiments on real datasets, making it highly suitable for both self-study and classroom use. -
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django-rest-framework-gis
Geographic add-ons for Django REST Framework
Geographic add-ons for Django Rest Framework. Provides a GeometryField, which is a subclass of Django Rest Framework (from now on DRF) WritableField. This field handles GeoDjango geometry fields, providing custom to_native and from_native methods for GeoJSON input/output. While precision and remove_duplicates are designed to reduce the byte size of the API response, they will also increase the processing time required to render the response. This will likely be negligible for small GeoJSON... -
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FATE
An industrial grade federated learning framework
FATE (Federated AI Technology Enabler) is the world's first industrial grade federated learning open source framework to enable enterprises and institutions to collaborate on data while protecting data security and privacy. It implements secure computation protocols based on homomorphic encryption and multi-party computation (MPC). Supporting various federated learning scenarios, FATE now provides a host of federated learning algorithms, including logistic regression, tree-based algorithms,... -
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TorchRec
Pytorch domain library for recommendation systems
...It allows authors to train models with large embedding tables sharded across many GPUs. Parallelism primitives that enable easy authoring of large, performant multi-device/multi-node models using hybrid data-parallelism/model-parallelism. The TorchRec sharder can shard embedding tables with different sharding strategies including data-parallel, table-wise, row-wise, table-wise-row-wise, and column-wise sharding. The TorchRec planner can automatically generate optimized sharding plans for models. Pipelined training overlaps dataloading device transfer (copy to GPU), inter-device communications (input_dist), and computation (forward, backward) for increased performance. ... -
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StructuralEquationModels.jl
A fast and flexible Structural Equation Modelling Framework
This is a package for Structural Equation Modeling in development. It is written for extensibility, that is, you can easily define your own objective functions and other parts of the model. At the same time, it is (very) fast. We provide fast objective functions, gradients, and for some cases hessians as well as approximations thereof. As a user, you can easily define custom loss functions. For those, you can decide to provide analytical gradients or use finite difference approximation /... -
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JetPackMvvm
A Jetpack combined with the MVVM rapid development framework
A Jetpack combined with the MVVM rapid development framework, based on the MVVM model to integrate the JetPack component library officially recommended by Google: LiveData, ViewModel, Lifecycle, and Navigation components use Kotlin language, add a lot of extension functions, simplify the code and add Retrofit network requests, coroutines, to help you Simplify various operations, allowing you to quickly develop projects. The sample format is the data format returned by the Android Api. If the... -
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qwik
The HTML-first framework. Instant apps of any size with
Qwik does not do hydration because it is resumable. Hydration can take several seconds, depending on the complexity of your application and mobile device speed. Qwik applications are instantly interactive even on slow mobile devices leading to a perfect Google PageSpeed score. Qwik apps begin their life as SSR/SSG. Qwik serializes the application's state and framework state into HTML upon rendering the application. Then Qwik can resume execution where the server left off in the browser... -
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PML
The easiest way to use deep metric learning in your application
...In the diagram below, a miner finds the indices of hard pairs within a batch. These are used to index into the distance matrix, computed by the distance object. For this diagram, the loss function is pair-based, so it computes a loss per pair. -
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AWS SDK for Go
AWS SDK for the Go programming language
...The AWS SDK for Go simplifies use of AWS services by providing a set of libraries that are consistent and familiar for Go developers. It supports higher level abstractions for simplified development, such as Amazon S3 Transfer Manager for seamless concurrent multi-part file uploads and Amazon DynamoDB AttributeValue and Expression utilities for easy integration of your application Go types. The SDK takes advantage of modern Go language features. You can use Go modules to model service dependencies required by your application, and control when they should update. ... -
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OpenAI .NET
The official .NET library for the OpenAI API
OpenAI .NET is the official client library for calling the OpenAI REST API from C# and other .NET languages, with first-class support for modern .NET patterns. It provides strongly typed clients across API areas (chat, audio, images, embeddings, moderations, batches, files, models, vector stores, responses, realtime, assistants) and works with .NET Standard 2.0 while the examples use .NET 8. You install it via NuGet and authenticate with an API key, ideally through environment variables or...
