zialiu Goto Github PK

am3

Adaptive Cross-Modal Few-shot learning OSS code

apl

Open source implementation of Adaptive Posterior Learning (ICLR 2019)

bf3s

Boosting Few-Shot Visual Learning with Self-Supervision

closerlookfewshot

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

coursera-ml-using-matlab-python

coursera吴恩达机器学习课程作业自写Python版本+Matlab原版

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deltaencoder

This is the tensorflow implementation for the paper "Delta-encoder: an effective sample synthesis method for few-shot object recognition" https://arxiv.org/abs/1806.04734

dynamic-few-shot-visual-learning-without-forgetting

pytorch simple implement for "Dynamic Few-Shot Visual Learning without Forgetting" in Jupyter Version

fast-weights

🏃 Implementation of Using Fast Weights to Attend to the Recent Past.

feat

The code repository for "Learning Embedding Adaptation for Few-Shot Learning"

few-shot-ctm

Few shot learning

few-shot-gnn

few-shot-ssl-public

Meta Learning for Semi-Supervised Few-Shot Classification

few-shot-without-forgetting-tensorflow

Tensorflow implementation of Dynamic Few-Shot Visual Learning without Forgetting by Gidaris & Komodakis

fewshot-can

fewshotlearning

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

howtotrainyourmamlpytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

intellij-idea-tutorial

IntelliJ IDEA 简体中文专题教程

learning_to_learn_via_self-critique

The original code for the paper "Learning to Learn via Self-Critique".

learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

leyou

传智黑马乐优商城项目后台管理系统

low-shot-shrink-hallucinate

Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features

maml

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

matchingnetworks

An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf

mct_dfmn

Pytorch implementation of Transductive Few-shot Learning with Meta-Learned Confidence

meta-transfer-learning

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

metaoptnet

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

metavrf

This repository contains source code of the ICML 2020 paper:(Learning to Learn Kernels with Variational Random Features)

mt-net

Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"

online-meta-learning