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ae_ts

Auto encoder for time series

aiquality

Experiments on Model Testing/Explainability Algos/Tools

before-demo

biga-pyclient

bpi_challenge_2017

cerebro

A home-made Deep Learning framework

deepxplore

DeepXplore code release

defragtrees

Python code for tree ensemble interpretation

dlfuzz

DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems

dplyr

Plyr specialised for data frames: faster & with remote datastores

eif

Extended Isolation Forest for Anomaly Detection

h1st

H1st AI solves the critical “cold-start” problem of Industrial AI: encoding human expertise to augment the lack of data, while building a smooth transition toward a machine-learning future. This problem has caused most industrial-AI projects to fail.

h1st-cookiecutter-1

jsqlparser

JSqlParser parses an SQL statement and translate it into a hierarchy of Java classes. The generated hierarchy can be navigated using the Visitor Pattern

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

keras-io

Keras documentation, hosted live at keras.io

learncpp

leetcode

Solutions to leetcode problems

melody

Multilayer Infrastructure Orchestration with Pulumi and Prefect

misc

myfirstgit

nutils

The nutils project

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

spark

Mirror of Apache Spark

statsmodels

Statsmodels: statistical modeling and econometrics in Python

test-h1st-cookiecutter-etl-app

testrnn

Coverage-Guided Testing of Long Short-Term Memory (LSTM) Networks

tsae

AutoEncoder for Multivariate Time Series