carriemint

label-distribution-learning-fer-tf

Official Tensorflow Implementation of "Uncertainty-aware Label Distribution Learning for Facial Expression Recognition" paper

DUC

[ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"

CLUE

PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)

ADA-label-distribution-matching

This is official code for "Combating Label Distribution Shift for Active Domain Adaptation" accepted in ECCV2022

deep-active-learning

An implementation of the state-of-the-art Deep Active Learning algorithms

JavaFamily

【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

Multifaceted-Uncertainty-Estimation-for-Label-Efficient-Deep-Learning

Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

dirichlet-priornet

Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

tutorials

机器学习相关教程

HelloGitHub

:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.