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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

brain-inspired-replay

A brain-inspired version of generative replay for continual learning with deep neural networks (class-incremental learning on CIFAR-100; PyTorch code).

c-mapss_problem

cdan

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

crossdomainfewshot

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

cvpr2019

cvpr2019／cvpr2018/cvpr2019 papers，极市团队整理

cvpr2020-code

CVPR 2020 论文开源项目合集

darn

Domain Aggregation Networks

dcso

Supplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"

dim

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

domainbed

DomainBed is a suite to test domain generalization algorithms

dtinet

A Network Integration Approach for Drug-Target Interaction Prediction

efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

gsl

Guided Subspace Learning

hands-on-transfer-learning-with-python

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

hello-world

l2t-ww

Learning What and Where to Transfer (ICML 2019)

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

machinelearning

Basic Machine Learning and Deep Learning

models

Models and examples built with TensorFlow

nsga-net

NSGA-Net, a Neural Architecture Search Algorithm

pylof

Python implementation of Local Outlier Factor algorithm.

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

resnet-in-tensorflow

Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

tlbook-code

Code for Transfer Learning book--《迁移学习导论》配套代码

transfer-learning-materials

resource collection for transfer learning!

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

treeexplainer-study

Code and documentation for experiments in the TreeExplainer paper