jinggew

jinggew's Stars

• huggingface/diffusers

  🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

  Language:Python25.4k5.2k

• mlmed/torchxrayvision

  TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

  Language:Jupyter Notebook899215

• richard-peng-xia/awesome-multimodal-in-medical-imaging

  A collection of resources on applications of multi-modal learning in medical imaging.

  48451

• salesforce/BLIP

  PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

  Language:Jupyter Notebook4.7k623

• HKU-MedAI/MGCA

  [NeurIPS'22] Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning

  Language:Jupyter Notebook12917

• JoePenna/Dreambooth-Stable-Diffusion

  Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.

  Language:Jupyter Notebook3.2k558

• saiboxx/chexray-diffusion

  Code for "Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis" @ PAKDD 2023

  Language:Python448

• BioMedIA-MBZUAI/XReal

  Language:Python18

• huaxiuyao/Wild-Time

  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)

  Language:Python618

• cuhksz-nlp/R2Gen

  Language:Python16550

• wjhou/Recap

  Code for the paper "RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning" (EMNLP'23 Findings).

  Language:Python231

• rishikksh20/ViViT-pytorch

  Implementation of ViViT: A Video Vision Transformer

  Language:Python50362

• igcondapet/IgCONDA-PET

  Language:Python11

• Warvito/generative_brain_controlnet

  Repository to train ControlNet on Brain data (UK BIOBANK) using MONAI Generative Models

  Language:Python734

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python29.9k2.7k

• openai/guided-diffusion

  Language:Python6.1k808

• DuYooho/ArSDM

  [MICCAI-2023] ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models

  Language:Python302

• THUDM/ImageReward

  [NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

  Language:Python1.1k62

• LeapLabTHU/MLLA

  Official repository of MLLA (NeurIPS 2024)

  Language:Python1796

• PythonOT/POT

  POT : Python Optimal Transport

  Language:Python2.4k498

• ricvolpi/domain-shift-robustness

  Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019

  Language:Python273

• txsing/generalize-unseen-domains-PyTorch

  PyTorch Implementation: Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018. Origin Tensorflow Implementation: https://github.com/ricvolpi/generalize-unseen-domains

  Language:Python144

• ricvolpi/generalize-unseen-domains

  Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018

  Language:Python12122

• MooreThreads/Moore-AnimateAnyone

  Character Animation (AnimateAnyone, Face Reenactment)

  Language:Python3.1k240

• r-three/phatgoose

  Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"

  Language:Python784

• meowoodie/Dr.k-NN

  A robust classifier for few-training-data problem based on a distributionally robust optimization framework

  Language:Python7

• google-research/l2p

  Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

  Language:Python40241

• yulewang97/ERDiff

  [NeurIPS'23 Spotlight] Official Repo for "Extraction and recovery of spatio-temporal structure in latent dynamics alignment with diffusion models"

  Language:Python415

• mihirp1998/Diffusion-TTA

  Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.

  Language:Python504

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.1k867