A GUI to interact with Meta's Segment Anything Model 2 (SAM2)

Official inference framework for 1-bit LLMs

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Medical imaging processing for deep learning.

SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image

NLP @chula 2021

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Official Pytorch Implementation of SegViT: Semantic Segmentation with Plain Vision Transformers

Segment Anything in Medical Images

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive arch…

Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"

PyTorch code and models for V-JEPA self-supervised learning from video.

[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis

This repository is mainly dedicated for listing the recent research advancements in the application of Self-Supervised-Learning in medical images computing field

TTool is software designed for augmented reality (AR) assisted woodworking tasks. It allows a AI-assisted and real-time detection of tool head's type and pose within the camera frame.

The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"

code and data repo for the Roofpedia project

Independent implementation of Supervised Contrastive Loss. Straight to the point and beyond

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

This is the implementation of the CDGPT2 model mentioned in our paper 'Automated Radiology Report Generation using Conditioned Transformers'

DeepLab v3+ model in PyTorch. Support different backbones.

Make your models invariant to changes in scale.

Nationwide houseshold-level solar panel identification with deep learning

Fast Segment Anything

List of AI Residency Programs

Algorithms and Publications on 3D Object Tracking

An Occlusion-aware Edge-Based Method for Monocular 3D Object Tracking using Edge Confidence

Machine Learning library for educational purpose.