kengz/SLM-Lab-doc: SLM Lab Gitbook Documentation

kengz/neo4jKB: A graph knowledge base implemented in neo4j.

kengz/dstack: 🧬 dstack: Your new home for building AI apps

kengz/lean-dl-example: Example of a lean deep learning project with a config-driven approach.

kengz/lomath: Lomath is a tensorial math library extended from lodash, with performant math functions applicable to tensors(multi-arrays). It also has a standalone plotting module that using HighCharts and BrowserSync.

kengz/mnist-classifier: Simple MNIST classifier example using PyTorch Lightning.

kengz/feature_transform: Build ColumnTransformers (Scikit or DaskML) for feature transformation by specifying configs.

kengz/SLM-Lab: Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

kengz/aiva: AIVA (A.I. Virtual Assistant): General-purpose virtual assistant for developers.

kengz/awesome-deep-rl: A curated list of awesome Deep Reinforcement Learning resources.

kengz/spacy-nlp: Expose Spacy nlp text parsing to Nodejs (and other languages) via socketIO

kengz/robocup-soccer: A.I. Python project on RoboCup 2D Soccer Simulation League.

kengz/torcharc: TorchArc: Build PyTorch networks by specifying architectures.

kengz/openai_lab: An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

kengz/SLM-Lab-doc: SLM Lab Gitbook Documentation

kengz/python: Python Style Guide

kengz/github-actions-self-hosted: Github Actions Self Hosted container Dockerfile

kengz/python-structure: Sample project structure for a python package.

kengz/nlp-time: NLP time parser for time, range, and cron pattern.

kengz/dokker: Dokker.js creates professional Javascript code documentations.

kengz/Blog: My Blog

kengz/kengz: About me

kengz/dotfiles: my dotfiles

kengz/Risk-game: Implementation of the 2-player Risk game and the AI to play it, for Math 335 Probability project.

kengz/CGKB: Contextual Graph Knowledge Base