Karl's repositories
ad_examples
A collection of popular anomaly detection methods (iid/point-based and time series) including active learning for anomaly detection/discovery, description for diversity/explanation/interpretability. With a deeper analysis of incorporating label feedback with ensemble and tree-based detectors. Includes results-plots and illustrations for most approaches covered.
Adversarial_Autoencoder
A wizard's guide to Adversarial Autoencoders
ant-design
🐜 A UI Design Language
Automagica
Open Source RPA 🤖 Robotic Process Automation
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
blog
Everything about database,business.(Most for PostgreSQL).
DIY-Multiprotocol-TX-Module
DIY Multiprotocol TX Module
dji
CLI and Ruby tools for drone-maker DJI's store, account, and more
dji-firmware-tools
Tools for handling firmwares of DJI products, with focus on quadcopters.
docker-compose-aarch64
generate a docker-compose binary for aarch64 / arm64
eviltransform
Transport coordinate between earth(WGS-84) and mars in china(GCJ-02).
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
gods
GoDS (Go Data Structures). Containers (Sets, Lists, Stacks, Maps, Trees), Sets (HashSet, TreeSet, LinkedHashSet), Lists (ArrayList, SinglyLinkedList, DoublyLinkedList), Stacks (LinkedListStack, ArrayStack), Maps (HashMap, TreeMap, HashBidiMap, TreeBidiMap, LinkedHashMap), Trees (RedBlackTree, AVLTree, BTree, BinaryHeap), Comparators, Iterators, Enumerables, Sort, JSON
grmon
Command line monitoring for goroutines
keras-aae
Implementation of Adversarial Autoencoder in Keras
keras-anomaly-detection
Anomaly detection implemented in Keras
make-sense
Free to use online tool for labelling photos. https://makesense.ai
numjs
Like NumPy, in JavaScript
really-awesome-gan
A list of papers on Generative Adversarial (Neural) Networks
robotframework
Generic automation framework for acceptance testing and RPA
shadowsocks-go
go port of shadowsocks
tensor-house
A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
Trusted-ML-Pipelines
Trusted ML Pipeline Tutorial