playgrdstar

posenet_threejs

Using the pre-trained tensorflow.js Posenet model with three.js

portfolio_optimisation_with_tensorflow

Using Javascript and Tensorflow.js to build a portfolio optimiser with constraints.

primer_pythonblender

Primer on Generative Art in Blender

machine_learning_methods_collection_javascript

A collection of machine learning methods implemented in Javascript

hamp

HAMP Model for Learning Heterogeneous Networks with Multimodal and Positional Attributes

particle_swarm_optimisation_p5

Using Javascript to visualise how a particle swarm optimiser searches for the local minimum.

styletransfer_x_generativeart

Combining generative art with a simple style transfer

time_series_python

Time series analysis is essential when looking at financial data. Time series analysis simply means analysing data that changes over time. While we can apply many of the same techniques that we use to analyse other data-types to time series data, there are some other concepts and techniques that we need to learn.

CSV_2_JSON_Python

Simple script to convert CSV to JSON

notebooks

Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.

tween_p5_fishes

Mashing up p5.js and GSAP to tween fishes in a pond.

wikidata_kg

AHAMP

aizawa

generative aizawa

artcode

awesome-ai-biz

An awesome list of references on AI for business

awesome-ai-risks

An awesome list of references on AI risks and mitigants

bedhead

generative bedhead

ethereal

generative ethereal

fpp3-python-readalong

Python-centered read-along of Forecasting: Principles and Practice

gdelt_gkg

get_googletrends

kece

Paper: Learning Knowledge-Enriched Company Embeddings for Investment Management, 2nd ACM International Conference on AI in Finance 2021

lorenz

generative lorenz

MAAN-EMAAN

quaintitative

My quaint writings

reddit_data

rossler

generative_rossler

TM-GCN

Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product

waterfall

generative waterfall