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Strong and Open Vision Language Assistant for Mobile Devices
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.
UDef-ARP was developed by Clark Labs, in collaboration with TerraCarbon, to facilitate implementation of the Verra tool, VT0007 Unplanned Deforestation Allocation (UDef-A).
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
The OpenTF Manifesto expresses concern over HashiCorp's switch of the Terraform license from open-source to the Business Source License (BSL) and calls for the tool's return to a truly open-source …
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Instruct-tune LLaMA on consumer hardware
This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs
Community Terrestrial Systems Model (includes the Community Land Model of CESM)
High-Resolution Image Synthesis with Latent Diffusion Models
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers (ICCV 2023)
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
A lightweight camera library for quick integration with SwiftUI - iOS/iPadOS only
An AVFoundation based API that allows users to access the camera and its functions on their iOS devices with SwiftUI
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
Image Depth Maps Tutorial for iOS: Getting Started
IOS example app to generate point clouds in ARKit using scenedepth
This project is the sample code of working with ARFoiundation, Vision framework, and CoreML.
This native plugin enables Unity to take advantage of specific features of Core-ML and Vision Framework on the iOS platform.
I (attempt to) print everything* from places