Stars
Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
Easily train a good VC model with voice data <= 10 mins!
code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
[ICASSP 2024] Single-Source Domain Generalization in Fundus Image Segmentation Via Moderating and Interpolating Input Space Augmentation
SF(DA)²: Source-free Domain Adaptation Through the Lens of Data Augmentation (ICLR 2024)
Generate custom text files for dataloader within UDA methods
🚀 一键部署（含离线整合包）！基于 ChatTTS ，支持流式输出、音色抽卡、长音频生成和分角色朗读。简单易用，无需复杂安装。
ChatTTS 2000条音色稳定性打分🥇+区分男女年龄👧+在线试听🔈 ChatTTS 2K Speaker Stability Score & Categorized by Gender and Age & Audio Preview
Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain Adaptation
YOLO SHOW - YOLOv11 / YOLOv10 / YOLOv9 / YOLOv8 / YOLOv7 / YOLOv5 / RTDETR / SAM / MobileSAM / FastSAM YOLO GUI based on Pyside6
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Visualizer for neural network, deep learning and machine learning models
这是一个YoloV5-pytorch的源码，可以用于训练自己的模型。
Conventional SGBM depth ranging + yolov5 object detection with deployment on Jeston nano
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
[CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation
code released for our CVPR 2021 paper "Domain Adaptation with Auxiliary Target Domain-Oriented Classifier"
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…