fadamsyah

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

schedule_free

Schedule-Free Optimization in PyTorch

LLaVA-Med

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

performer-pytorch

An implementation of Performer, a linear attention-based transformer, in Pytorch

CLIP-Driven-Universal-Model

[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

XrayGPT

[BIONLP@ACL 2024] XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.

Awesome-CV-Foundational-Models

SynthSeg

Contrast-agnostic segmentation of MRI scans

Video-LLaVA

PG-Video-LLaVA: Pixel Grounding in Large Multimodal Video Models

Endo-FM

[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

PromptAlign

[NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization

satmae_pp

Official repository for "Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery" (CVPR 2024)

Rank-N-Contrast

[NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression

adamae

[CVPR'23] AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders

echo_CLIP

llmblueprint

[ICLR 2024] Official code for the paper "LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts"

MedPromptX

MultiTalent

Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"

UniXGen

Official code for the CHIL 2024 paper: "Vision-Language Generative Model for View-Specific Chest X-ray Generation"

Slim-UNETR

An Efficient, High-Quality 3D Segmentation for Medical Image Analysis with Constrained Computational Resources

BrainMaGe

Brain extraction in presence of abnormalities, using single and multiple MRI modalities

ObjectCompose

[ACCV 2024] ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes 🚀🚀🚀

echotracker

Point Tracking in Echocardiography.

XReal

DynaMMo

Ultrasound-SSL-FetalCardiacPlanes

[ASMUS-2023] Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos

FissionFusion

COPAL-ID