Search Results for "transfer function model" - Page 3
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Showing 297 open source projects for "transfer function model"
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django-organizations
Multi-user accounts for Django projects
Separate individual user identity from accounts and subscriptions. Django Organizations adds user-managed, multi-user groups to your Django project. Use Django Organizations whether your site needs organizations that function like social groups or multi-user account objects to provide account and subscription functionality beyond the individual user. Works with your existing user model, whether django.contrib.auth or a custom model. No additional user or authentication functionality is required. Users can belong to and own more than one organization (account, group) Invitation and registration functionality works out of the box for many situations and can be extended as needed to fit specific requirements. ... -
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HumanEval
Code for the paper "Evaluating Large Language Models Trained on Code"
...It consists of hand-written programming problems with unit tests, designed to assess functional correctness rather than superficial metrics like text similarity. Each task includes a natural language prompt and a function signature, requiring the model to generate an implementation that passes all provided tests. The benchmark has become a standard for evaluating code generation models, including those in the Codex and GPT families. Researchers can use the dataset to run reproducible comparisons across models and track improvements in functional code synthesis. ... -
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React-Bootstrap
Bootstrap components built with React
...Built with compatibility in mind, we embrace our bootstrap core and strive to be compatible with the world's largest UI ecosystem. By relying entirely on the Bootstrap stylesheet, React-Bootstrap just works with the thousands of Bootstrap themes you already love. The React component model gives us more control over form and function of each component. Each component is implemented with accessibility in mind. The result is a set of accessible-by-default components, over what is possible from plain Bootstrap. -
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ChatGLM3
ChatGLM3 series: Open Bilingual Chat LLMs | Open Source Bilingual Chat
ChatGLM3 is ZhipuAI & Tsinghua KEG’s third-gen conversational model suite centered on the 6B-parameter ChatGLM3-6B. It keeps the series’ smooth dialog and low deployment cost while adding native tool use (function calling), a built-in code interpreter, and agent-style workflows. The family includes base and long-context variants (8K/32K/128K). The repo ships Python APIs, CLI and web demos (Gradio/Streamlit), an OpenAI-format API server, and a compact fine-tuning kit. -
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DINOv3
Reference PyTorch implementation and models for DINOv3
...It continues the paradigm of learning strong image representations without labels using teacher–student distillation, but introduces a simplified and more scalable training recipe that performs well across datasets and architectures. DINOv3 removes the need for complex augmentations or momentum encoders, streamlining the pipeline while maintaining or improving feature quality. The model supports multiple backbone architectures, including Vision Transformers (ViT), and can handle larger image resolutions with improved stability during training. The learned embeddings generalize robustly across tasks like classification, retrieval, and segmentation without fine-tuning, showing state-of-the-art transfer performance among self-supervised models. -
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Casibase
Open-source enterprise-level AI knowledge base and MCP
Casibase is an open-source AI cloud platform designed to function as an enterprise knowledge base, container management system, and collaboration environment for AI-driven applications. The project combines knowledge management, messaging, and forum features with large language model integration to create an interactive platform for storing and querying domain-specific knowledge. Built with a separated frontend and backend architecture, Casibase provides a web-based administrative interface and supports high concurrency for enterprise environments. ... -
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Live API Web Console
A react-based starter app for using the Live API over websockets
...Configuration lives in a simple .env file and the project boots with standard web tooling, letting you experiment quickly with models, system prompts, and tool declarations. It ships with demo branches that show grounded search, function calling, and visualization—one example has the model calling a function that renders Vega/Altair graphs directly in the UI. Under the hood there’s an event-emitting WebSocket client, an audio in/out processing layer, and a minimal scaffolded view so you can focus on your app logic rather than wiring. -
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Mangle
Go library for Datalog-style logical reasoning and domain modeling
Mangle is a programming language developed by Google for deductive database programming, serving as an advanced extension of Datalog. It is designed to unify and query data from multiple sources in a structured, declarative way while allowing developers to model complex relationships and domain knowledge beyond binary predicates. Mangle enhances traditional Datalog by introducing features such as aggregation, function calls, and optional type-checking, which make it more practical for modern data-intensive applications. Unlike SQL, Mangle’s declarative syntax naturally supports recursion and modular program structure, making it suitable for representing hierarchical or interconnected datasets like dependency graphs or knowledge graphs. ... -
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JuliaConnectoR
A functionally oriented interface for calling Julia from R
This R-package provides a functionally oriented interface between R and Julia. The goal is to call functions from Julia packages directly as R functions. Julia functions imported via the JuliaConnectoR can accept and return R variables. It is also possible to pass R functions as arguments in place of Julia functions, which allows callbacks from Julia to R. From a technical perspective, R data structures are serialized with an optimized custom streaming format, sent to a (local) Julia TCP... -
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AWS SAM CLI
CLI tool to build, test, debug, and deploy Serverless applications
The AWS Serverless Application Model (SAM) CLI is an open-source CLI tool that helps you develop serverless applications containing Lambda functions, Step Functions, API Gateway, EventBridge, SQS, SNS and more. The AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications. It provides shorthand syntax to express functions, APIs, databases, and event source mappings. With just a few lines per resource, you can define the application you want and... -
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vJEPA-2
PyTorch code and models for VJEPA2 self-supervised learning from video
...Instead of reconstructing pixels, it predicts the missing high-level embeddings of masked space-time regions using a context encoder and a slowly updated target encoder. This objective encourages the model to learn semantics, motion, and long-range structure without the shortcuts that pixel-level losses can invite. The architecture is designed to scale: spatiotemporal ViT backbones, flexible masking schedules, and efficient sampling let it train on long clips while remaining stable. Trained representations transfer well to downstream tasks such as action recognition, temporal localization, and video retrieval, often with simple linear probes or light fine-tuning. ... -
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DCV Color Primitives
DCV Color Primitives Library
...You might want to propagate errors to the caller function or mix with some other error types. So far, buffers were sized taking into account the image pixel format and dimensions; However, you can use a function to compute how many bytes are needed to store an image of a given format and size. If your data is scattered in multiple buffers that are not necessarily contiguous, you can provide image planes. -
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Generative AI for Beginners (Version 3)
21 Lessons, Get Started Building with Generative AI
...Lessons are split into “Learn” modules for core concepts and “Build” modules with hands-on code in Python and TypeScript, so you can jump in at any point that matches your goals. The course covers everything from model selection, prompt engineering, and chat/text/image app patterns to secure development practices and UX for AI. It also walks through modern application techniques such as function calling, RAG with vector databases, working with open source models, agents, fine-tuning, and using SLMs. Each lesson includes a short video, a written guide, runnable samples for Azure OpenAI, the GitHub Marketplace Model Catalog, and the OpenAI API, plus a “Keep Learning” section for deeper study. -
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Substra
Low-level Python library used to interact with a Substra network
An open-source framework supporting privacy-preserving, traceable federated learning and machine learning orchestration. Offers a Python SDK, high-level FL library (SubstraFL), and web UI to define datasets, models, tasks, and orchestrate secure, auditable collaborations. -
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Stylus for Chrome
Stylus - Userstyles Manager
Stylus is a fork of Stylish for Chrome, also compatible with Firefox as a WebExtension. "Stylus" is a fork of the popular Stylish extension which can be used to restyle the web. Not "ish", but "us", as in "us" the actual users. Stylus is a fork of Stylish that is based on the source code of version 1.5.2, which was the most up-to-date version before the original developer stopped working on the project. The objective in creating Stylus was to remove any and all analytics, and return to a... -
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Omnilingual ASR
Omnilingual ASR Open-Source Multilingual SpeechRecognition
...The repo is aimed at pushing practical multilingual ASR—robust to accents, code-switching, and domain shifts—rather than language-by-language systems. For practitioners, it’s a starting point to study transfer, zero-shot behavior, and trade-offs between model size, compute cost, and coverage. -
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JavaScript Obfuscator
A powerful obfuscator for JavaScript and Node.js
JavaScript Obfuscator is a Node.js library and CLI that transforms readable JavaScript into hardened, difficult-to-reverse code. It applies techniques such as identifier mangling, string array extraction/encoding, control-flow flattening, dead-code injection, and numeric literal transformations to disguise intent. Advanced options include self-defending code, domain locking, debug/console protection, and property key transformation, allowing you to tailor defenses to your threat model. The... -
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CoreDNS
CoreDNS is a DNS server that chains plugins
...Retrieve zone data from primaries, i.e., act as a secondary server (AXFR only) (secondary). Sign zone data on-the-fly (dnssec). Load balancing of responses (loadbalance). Allow for zone transfers, i.e., act as a primary server (file + transfer). Automatically load zone files from disk (auto). -
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PyKEEN
A Python library for learning and evaluating knowledge graph embedding
PyKEEN (Python KnowlEdge EmbeddiNgs) is a Python package designed to train and evaluate knowledge graph embedding models (incorporating multi-modal information). PyKEEN is a Python package for reproducible, facile knowledge graph embeddings. PyKEEN has a function pykeen.env() that magically prints relevant version information about PyTorch, CUDA, and your operating system that can be used for debugging. If you’re in a Jupyter Notebook, it will be pretty-printed as an HTML table. -
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Pocket TTS
A TTS that fits in your CPU (and pocket)
Pocket TTS is a lightweight text-to-speech project designed to run efficiently on CPUs, targeting developers who want local speech generation without depending on GPUs or hosted web APIs. It is built to feel practical in everyday applications, where installation and usage should be as simple as adding a dependency and calling a function. The project focuses on keeping the runtime footprint manageable while still producing natural-sounding speech, which makes it attractive for offline tools,... -
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CoAI.Dev
Next Generation AI One-Stop Internationalization Solution
...It also includes advanced content rendering, with strong Markdown support for tables, code highlighting, LaTeX, and diagram-style outputs, so conversations can function like rich technical documents. -
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Brick
A declarative Unix terminal UI library written in Haskell
Brick is a Haskell terminal user interface (TUI) programming toolkit that enables developers to build rich, responsive terminal applications via a declarative model: you define a pure function that renders the UI from application state and supply state transition logic to handle events. brick exposes a declarative API. Unlike most GUI toolkits which require you to write a long and tedious sequence of widget creations and layout setup, brick just requires you to describe your interface using a set of declarative layout combinators. ... -
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AWS Lambda for Go
Libraries, samples and tools to help Go developers develop AWS Lambda
Libraries, samples and tools to help Go developers develop AWS Lambda functions. Libraries, samples, and tools to help Go developers develop AWS Lambda functions. Preparing a binary to deploy to AWS Lambda requires that it is compiled for Linux and placed into a .zip file. Windows developers may have trouble producing a zip file that marks the binary as executable on Linux. To create a .zip that will work on AWS Lambda, the build-lambda-zip tool may be helpful. -
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Mediary Scout
Agent-driven media library for your cloud drives
Mediary Scout is an agent-driven media library that acquires movies, television shows, and anime for supported cloud drives. An LLM agent searches connected indexers, selects a result according to quality and subtitle preferences, transfers it, and verifies what arrived. The library tracks season coverage, missing episodes, airing status, and scheduled gap-filling tasks. It supports 115, Quark, and GuangYaPan as separate workspaces without requiring local media downloads. Users can run an... -
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DeepEval is a simple-to-use, open-source LLM evaluation framework, for evaluating and testing large-language model systems. It is similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., which uses LLMs and various other NLP models that run locally on your machine for evaluation. Whether your application is implemented via RAG or fine-tuning,...