Outfit Anyone: Ultra-high quality virtual try-on for Any Clothing and Any Person

A natural language interface for computers

Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.

Inference code for CodeLlama models

LAVIS - A One-stop Library for Language-Vision Intelligence

The LLM Evaluation Framework

PyTorch code and models for the DINOv2 self-supervised learning method.

Supercharge Your Model Training

[ICCV2023 Oral] Unmasked Teacher: Towards Training-Efficient Video Foundation Models

We write your reusable computer vision tools. 💜

Utility functions for model development and deployment

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

Image-to-Image Translation in PyTorch

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

LinkedIn Learning course covering Python Unit Test with Pytest, Docker, and TDD principles

Official PyTorch implementation of SegFormer

RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features (CVPR 2021)

[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Official repo for SemanticGAN https://nv-tlabs.github.io/semanticGAN/

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

Google Research

Code accompanying the paper 'Incremental Few-Shot Instance Segmentation'

Image marine sea litter prediction Shiny

Synthesizing and manipulating 2048x1024 images with conditional GANs

AI-Assisted-Imagery-Analysis - the project was funded by Microsoft AI for Earth and Global Wildlife Conservation. Project output: https://ai4earth-wildlife-web.surge.sh/

A ResNet(ResNet18, ResNet34, ResNet50, ResNet101, ResNet152) implementation using TensorFlow-2.0.