LeparaLaMapara

tfilterpy

Python Package for Bayesian filters

Algorithms

A collection of algorithms and data structures

Applied-Machine-Learning-Explainability-Techniques

Applied Machine Learning Explainability Techniques, published by Packt

awesome-TS-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

cvxpy

A Python-embedded modeling language for convex optimization problems.

dccp

A CVXPY extension for convex-concave programming

ESNIterativeSegmentation

Iterative image segmentation using echo state networks

graph-theory

A simple graph library

jupyterlab

JupyterLab computational environment.

jython

Python for the Java Platform

kalman-filter

Kalman Filter implementation in Python using Numpy only in 30 lines.

kalmanfilter-

KasiLam

Digitization of SA townships businesses

LeparaLaMapara

Config files for my GitHub profile.

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

ml_from_scratch

Implentation of machine learning methods from scratch

mlopt

The Machine Learning Optimizer

ncvx

Personal

PowerGenome

A tool to quickly and easily create inputs for power systems models

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

time-series-forecasting-with-python

A use-case focused tutorial for time series forecasting with python

2_year_computer_science

Second year computer science university of london

akramz

applied-machine-learning

This repo is for the ideas for testing out the application of ML on new ideas

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

docs

This a repo for the things i have learned and managed to build templates

myPortfolio

my updated website

RL

Introductions to Reiforcement learning