zilong-wu-nudt Goto Github PK

bagan

BAGAN adopted for tensorflow 2.2+

concurl_nce

deepclustering

Methods and Implements of Deep Clustering

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

improved-bagan-gp

Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.

keras-docs-zh

Chinese (zh-cn) translation of the Keras documentation.

keras-mnist-center-loss-with-visualization

An implementation for mnist center loss training and visualization

learningtocompare-tensorflow

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

lemniscate.pytorch

Unsupervised Feature Learning via Non-parametric Instance Discrimination

lf2cs

The code of Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

maml-keras

Using keras and tf build MAML

maml-tensorflow

Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

maml-tensorflow2.3

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (TensorFlow 2.3)

maml-tf2

A fast implementation of MAML (Finn et al. 2017) in Tensorflow 2

maml-tf2keras-mnist

the example of MAML using TF2 and TF-keras. The training example is KMNIST which can to easily change to MNIST for understanding

prototypical-networks-tensorflow

Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

simclrv1-keras-tensorflow

Tensorflow-Keras implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)

simsiam-kerascv

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882