playgrdstar

docker_datalab

Using Docker to create a data lab that can be served from AWS

expected_shortfall

Quick introduction to Expected Shortfall

financial_data_viz

Computing some financial measures and visualising them in Pandas

handcoding_viz

3 Days of Hand Coding Visualisations

machine_learning_methods_collection_javascript

A collection of machine learning methods implemented in Javascript

measure_marketrisk_VAR

Simple introduction to VAR, one of the most commonly used measures of market risk

monte_carlo_sim_VAR

Simple introduction to Monte Carlo simulation, applied to VAR

natureofcode_threejs

Nature of Code Processing Examples Ported to three.js

network_garden_d3

Creating a pretty little network chart in d3.js

posenet_threejs

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

playgrdstar/posenet_threejs

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

playgrdstar/primer_pythonblender

Primer on Generative Art in Blender

playgrdstar/machine_learning_methods_collection_javascript

A collection of machine learning methods implemented in Javascript

playgrdstar/hamp

HAMP Model for Learning Heterogeneous Networks with Multimodal and Positional Attributes

playgrdstar/particle_swarm_optimisation_p5

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

playgrdstar/styletransfer_x_generativeart

Combining generative art with a simple style transfer

playgrdstar/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.

playgrdstar/CSV_2_JSON_Python

Simple script to convert CSV to JSON

playgrdstar/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.

playgrdstar/tween_p5_fishes

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

playgrdstar/wikidata_kg

playgrdstar/AHAMP

playgrdstar/aizawa

generative aizawa

playgrdstar/artcode

playgrdstar/awesome-ai-biz

An awesome list of references on AI for business

playgrdstar/awesome-ai-risks

An awesome list of references on AI risks and mitigants

playgrdstar/bedhead

generative bedhead

playgrdstar/ethereal

generative ethereal

playgrdstar/fpp3-python-readalong

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

playgrdstar/gdelt_gkg

playgrdstar/get_googletrends

playgrdstar/kece

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

playgrdstar/llm_experiments

General notebooks and scripts for working with LLMs

playgrdstar/lorenz

generative lorenz

playgrdstar/MAAN-EMAAN

playgrdstar/quaintitative

My quaint writings

playgrdstar/reddit_data

playgrdstar/rossler

generative_rossler

playgrdstar/TM-GCN

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

playgrdstar/waterfall

generative waterfall