chanocy Goto Github PK

active-learning

ai-homework-1st

SGD/Momentum/Nesterov Momentum/AdaGrad/Adadelta/Adam

al-fk-self-supervision

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

alipy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

badge

An implementation of the BADGE batch active learning algorithm.

confidence_estimation

Learning Confidence for Out-of-Distribution Detection in Neural Networks

deep-active-learning

Deep Active Learning

deep-learning

personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout， 三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

gitrestore

mlbasic

深度学习常用优化方法详解

multi-task-curriculum-framework-for-open-set-ssl

Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"

pytorch-tutorial

Build your neural network easy and fast

pytorch_active_learning

PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

simclr

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

temperature_scaling

A simple way to calibrate your neural network.

wennibao

wennibao.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes