kic Goto Github PK

airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

angular2-material-seed

bayesian_changepoint_detection

Methods to get the probability of a changepoint in a time series.

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

cachier

Persistent, stale-free, local and cross-machine caching for Python functions.

convnet-designer

A utility for designing Convolutional Neural Networks

customize-os

customize my Pop!_OS installation

daemon.node

A node.JS addon that helps to create *nix daemons in Javascript

feedgnuplot

this is just a fork of dkogan/feedgnuplot adding a socket option to stream data to gnuplot via tcp

fetch-gh-release-asset

Github Action to download an asset from a Github release

freeze-requirements

A script to help creating and maintaining frozen requirements for pip

hierarchical-clustering-java

Implementation of an agglomerative hierarchical clustering algorithm in Java. Different linkage approaches are supported.

hrp

Hierarchical Risk Portfolio

ibgateway

dockerized ib gateway

include-pycharm-modules

include pycharm modules to python path

indexed-tree-map

Automatically exported from code.google.com/p/indexed-tree-map

kafka-stream-pipelines

In traditional streaming applications the data flow needs to be known either at build time or at startup time. With this approach the wireing is done completely at runtime.

lppl

Log Periodic Power Law (Sornette)

nestedvm

NestedVM clone from git.megacz.com, builds under Java 1.8 on Docker, creates gcc 4.8.3 to compile to JVM assembler

ojalgoandroid

pandas-ml-quant

Master repository for the pandas-ml modules

pandas_ml_utils

DEPRECATED use https://github.com/KIC/pandas-ml-quant instead!

playbooks

Ansible Playbooks

profile

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-rbm

Restricted Boltzmann Machines (RBMs) in PyTorch

qtile

:cookie: A full-featured, hackable tiling window manager written and configured in Python

quant_ml

re-implement TA-Lib functions in pandas as I need them for pandas-ml-utils projects

scalajs-chartjs-facade

scratch_old_experiments