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ActiveLearning
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Elegant LaTeX Template for Working Papers
EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)
Open-vocabulary Object Segmentation with Diffusion Models
[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
The official GitHub page for the review paper "Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models".
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
High-Resolution Image Synthesis with Latent Diffusion Models
Generative Models by Stability AI
Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
A curated list of audio-visual learning methods and datasets.
Effortless data labeling with AI support from Segment Anything and other awesome models.
A paper list of our recent survey on continual learning, and other useful resources in this field.
Bamboo: 4 times larger than ImageNet; 2 time larger than Object365; Built by active learning.
Official Pytorch code for Open World Object Detection in the Era of Foundation Models
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source librarie…
Latent Normalizing Flows for Many-to-Many Cross Domain Mappings (ICLR 2020)
Collection of awesome test-time (domain/batch/instance) adaptation methods
A hyperspherical face recognition library based on PyTorch
A comprehensive survey of forging vision foundation models for autonomous driving, including challenges, methodologies, and opportunities.
Unsupervised Domain Adaptation for Computer Vision Tasks
a Python toolbox loads 172 public time series datasets for machine learning/deep learning with a single line of code. Datasets from multiple domains, e.g. healthcare, financial, power, traffic, and…