Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

程序员延寿指南 | A programmer's guide to live longer

SAM: Sharpness-Aware Minimization (PyTorch)

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

📜 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

Google Research

A curated list of resources for Learning with Noisy Labels

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

Implementations of few-shot object detection benchmarks

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

TensorFlow and PyTorch implementations of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

深度学习论文阅读、数据仓库实践体验。比做算法的懂工程落地，比做工程的懂算法模型。

Indices Matter: Learning to Index for Deep Image Matting

Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks

Few-shot detection for visual categories

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

Scripts to build your own IPsec VPN server, with IPsec/L2TP and Cisco IPsec on Ubuntu, Debian and CentOS

Adaptive Masked Proxies for Few Shot Semantic Segmentation

HIT HomeWorks or Templets

NLNL: Negative Learning for Noisy Labels

Open MMLab Computer Vision Foundation

Zero-Shot Semantic Segmentation

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

A PyTorch implementation of MobileNet V2 architecture and pretrained model.

Open MMLab Detection Toolbox and Benchmark