Popular GitHub Repositories for Chip Agnostic

A framework agnostic PHP library to build chat bots

An Engine-Agnostic Deep Learning Framework in Java

A list of ICs and IPs for AI, Machine Learning and Deep Learning.

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.

Code for testing various M1 Chip benchmarks with TensorFlow.

[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.

Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.

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