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AI: AI Revolutionizing Cataract Surgeries: Unprecedented Precision and Benefits | Nagpur News

Nagpur: Integration of artificial intelligence (AI) and machine learning in diagnosis and treatment of eye ailments has brought unparallel precision and benefits, said city’s renowned ophthalmologists on Wednesday. “3D cataract surgeries are being performed with the help of AI while diagnosis of diabetic retinopathy is facilitated with the latest tools.The optical coherence tomography (OCT) provides…

pix2struct-docvqa-large

Model card for Pix2Struct - Finetuned on Doc-VQA (Visual Question Answering over scanned documents) - large version Table of Contents TL;DR Using the model Contribution Citation TL;DR Pix2Struct is an image encoder - text decoder model that is trained on image-text pairs for various tasks, including image captionning and…

depth-anything-base-hf

Depth Anything (base-sized model, Transformers version) Depth Anything model. It was introduced in the paper Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data by Lihe Yang et al. and first released in this repository. Online demo is also provided. Disclaimer: The team releasing Depth Anything did not write a model card for this…

dqn-SpaceInvadersNoFrameskip-v4

Edit model card DQN Agent playing SpaceInvadersNoFrameskip-v4 Usage (with SB3 RL Zoo) Training (with the RL Zoo) Hyperparameters Environment Arguments DQN Agent playing SpaceInvadersNoFrameskip-v4 This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4 using the stable-baselines3 library and the RL Zoo. The RL Zoo is a training framework for Stable Baselines3 reinforcement learning agents, with…

vc1-base

Edit model card Model Card: VC-1 (Visual Cortex) Model Details Citation Model Data Model Creation & Maintenance Model Usage Performance Limitations Model Card: VC-1 (Visual Cortex) Last updated: 2023-03-28 Version: 1.0 Code: https://github.com/facebookresearch/eai-vc Other Links: VC-1 Website, VC-1 Blogpost, VC-1 Paper, VC-1 Demo The VC-1 model is a vision transformer (ViT) pre-trained on over 4,000 hours of…

seamless-expressive

Edit model card You need to agree to share your contact information to access this model This repository is publicly accessible, but you have to accept the conditions to access its files and content . Access SeamlessExpressive on Hugging Face To access SeamlessExpressive on Hugging Face: Please fill out the Meta request form and accept the license…