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[ICCV 2023] Code for "Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement"
AudioLDM: Generate speech, sound effects, music and beyond, with text.
Recording some interesting face tasks, e.g., talking face videos generation, 3D face reconstruction, Face restoration and so on.
The papers and projects with multi-label learning
My personal page
ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
Let us control diffusion models!
Effective Data Augmentation With Diffusion Models
Denoising Diffusion Implicit Models
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
Official implementation of Diffusion Autoencoders
[MICCAI 2023] DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
The official repository for ICLR2024 paper "FROSTER: Frozen CLIP is a Strong Teacher for Open-Vocabulary Action Recognition"
GeneFace: Generalized and High-Fidelity 3D Talking Face Synthesis; ICLR 2023; Official code
Some small snippet of learning, including linux, pytorch, python and so on.
Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"
面试问题,常见的计算机视觉和深度学习的知识点
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
High-Resolution Image Synthesis with Latent Diffusion Models
This is the source code of LRA-diffusion for learning from noisy labels
Official implementation of "Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer".
[CVPR'23] MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
PyTorch Code for ProMix: Combating Label Noise via Maximizing Clean Sample Utility
Code for the TASLP paper "PSLA: Improving Audio Tagging With Pretraining, Sampling, Labeling, and Aggregation".
Pyramid Transformer Networks for Our Own dataset.
[NeurIPS 2023 Oral] Quilt-1M: One Million Image-Text Pairs for Histopathology.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.