A latent text-to-image diffusion model

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

High-Resolution Image Synthesis with Latent Diffusion Models

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

Using Low-rank adaptation to quickly fine-tune diffusion models.

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

Material for gpu-mode lectures

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

Diffusion attentive attribution maps for interpreting Stable Diffusion.

A SAM-based model for instance segmentation of images of grains

The open source Meme Search Engine and Finder. Free and built to self-host locally with Python, Ruby, and Docker.

Open and efficient video watermarking

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

[NeurIPS 2023 D&B] VidChapters-7M: Video Chapters at Scale

Official repository of DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models

Faster and more precisely than Grad-CAM

DataCV2024: The 2nd DataCV Challenge in conjunction with the CVPR 2024 Visual Dataset Understanding workshop

Code to the paper "Language Imbalance Can Boost Cross-lingual Generalisation"

Iterative Closest Point 2D with python3 and opencv3