Popular GitHub Repositories for Vendor Agnostic

A framework agnostic PHP library to build chat bots

An Engine-Agnostic Deep Learning Framework in Java

Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

[CVPR 2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

A language-agnostic interface to TensorBoard

AI Agnostic (Multi-user and Multi-bot) Chat with Fictional Characters. Designed with scale in mind.

A Tool-Unified User Interface accelerating AI tool integration via MCP (Model Context Protocol) and orchestrating cross-vendor LLM APIs

vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers

RAI is a multi-vendor agent framework for robotics, utilizing Langchain and ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.

[ECCV'22] Official repository of paper titled "Class-agnostic Object Detection with Multi-modal Transformer".

Official PyTorch implementation of TATS: A Long Video Generation Framework with Time-Agnostic VQGAN and Time-Sensitive Transformer (ECCV 2022)

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.

[CVPR 2022] C2AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation

Build AI products faster. A language-agnostic microservices platform for building AI applications.

A model-agnostic Ruby Generative AI DSL and framework. Provides base classes for building Generators, Actions, Tasks, and Agents that can be used to build AI powered applications in Ruby.

[ICLR 2024] Domain-Agnostic Molecular Generation with Chemical Feedback