Awj2021

awesome-face-tasks

Recording some interesting face tasks, e.g., talking face videos generation, 3D face reconstruction, Face restoration and so on.

awesome-labels-learning

The papers and projects with multi-label learning

diffusion-classifier

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

DivideMix

Code for DivideMix

mesh_demo

multi-annotator-machine-learning

psla

Code for the TASLP paper "PSLA: Improving Audio Tagging With Pretraining, Sampling, Labeling, and Aggregation".

TagCLIP

Tip-Adapter

TwoWayMultiLabelLoss

Two-way Multi-Label Loss

Awj2021/awesome-labels-learning

The papers and projects with multi-label learning

Awj2021/diffusion-classifier

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

Awj2021/DivideMix

Code for DivideMix

Awj2021/multi-annotator-machine-learning

Awj2021/psla

Code for the TASLP paper "PSLA: Improving Audio Tagging With Pretraining, Sampling, Labeling, and Aggregation".

Awj2021/TagCLIP

Awj2021/awesome-ssm-ml

Awj2021/ProMix

PyTorch Code for ProMix: Combating Label Noise via Maximizing Clean Sample Utility

Awj2021/classifier-free-diffusion-guidance-Pytorch

a simple unofficial implementation of classifier-free diffusion guidance

Awj2021/Conditional_Diffusion_MNIST

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

Awj2021/ControlNet

Let us control diffusion models!

Awj2021/DiffMIC

[MICCAI 2023] DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification

Awj2021/diffusers

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

Awj2021/FROSTER

The official repository for ICLR2024 paper "FROSTER: Frozen CLIP is a Strong Teacher for Open-Vocabulary Action Recognition"

Awj2021/ICLR24

Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"

Awj2021/IP-Adapter

The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

Awj2021/LRA-diffusion

This is the source code of LRA-diffusion for learning from noisy labels

Awj2021/MKT

Official implementation of "Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer".

Awj2021/open_clip

An open source implementation of CLIP.

Awj2021/PVT

Pyramid Transformer Networks for Our Own dataset.

Awj2021/quilt1m

[NeurIPS 2023 Oral] Quilt-1M: One Million Image-Text Pairs for Histopathology.

Awj2021/Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Awj2021/taming-transformers

Taming Transformers for High-Resolution Image Synthesis

Awj2021/TestProjects

Mainly including some test files, like jupyter notebooks

Awj2021/tiny-transformers

[ECCV 2022] Implementation of the paper "Locality Guidance for Improving Vision Transformers on Tiny Datasets"

Awj2021/U-Mamba

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Awj2021/unionnet

Replementation of unionnet "Deep Learning from Multiple Noisy Annotators as A Union"

Awj2021/Vim

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Awj2021/VMamba

VMamba: Visual State Space Models

Awj2021/VPD

[ICCV 2023] VPD is a framework that leverages the high-level and low-level knowledge of a pre-trained text-to-image diffusion model to downstream visual perception tasks.