YiNaLee

Graph-V-Net

A Hierarchical Graph V-Net with Semi-supervised Pre-training for Breast Cancer Histology Image Classification" (IEEE TMI)

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

ConformalTwoLayer

Code for "Distribution-free prediction sets for two-layer hierarchical models"

nnUNet_NonLocal_WS

A modification code based on nnUNet (https://github.com/MIC-DKFZ/nnUNet)

UNet-using-Dense-Layer

Basically, I implemented U-Net architecture using Dense-Blocks instead of Convolution layers and also added a Dilated Spatial Pooling Layer in the BottleNeck layer

HSVA

Official PyTorch Implementation of HSVA (NeurIPS'21)

MGKT-MFF

Wei Zhao, Hong Zhao*, Hierarchical long-tailed classification based on coarse- to fine-grained knowledge transfer driven by feature fusion, Pattern Recognition, 2023

ANCOR

Fine-grained Angular Contrastive Learning with Coarse Labels - Official Repository

Awesome-Fine-grained-Visual-Classification

Awesome Fine-grained Visual Classification

hi_fgic

Hierarchical Fine-Grained Image Classification

HMGN

Hierarchical Multi-Granularity Classification based on Residual Gated GCN

multi-label-image-classification

A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN

kohya-trainer

Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning

FouriScale

Official implementation of FouriScale (ECCV2024)

dreambooth-for-diffusion

文生图大模型训练工具箱 （完整封装stable diffusion全量微调训练流程， 可训练定制自己的独特风格、人物概念，开箱即用， 含自动图像标注、权重转换、训练参数配置等）

finetune_stable_diffusion

finetune stable diffusion with Dreambooth、LoRA、ControlNet

align_sd

Better Aligning Text-to-Image Models with Human Preference. ICCV 2023

HPSv2

Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

vqgan-clip-app

Local image generation using VQGAN-CLIP or CLIP guided diffusion

VQGAN-CLIP

Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

Awesome-Text-to-Image

(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.

diffusers

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

T2I-Metrics

Inference pipeline for some Text-to-Image metrics.

glide-text2im

GLIDE: a diffusion-based text-conditional image synthesis model

StyleGAN3-CLIP-notebooks

A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.

DiffusionCLIP

[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models

CLIP-Guided-Diffusion

Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.

guided-diffusion

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

guided-diffusion