Pinned Repositories
iterative_training
Iterative Training: Finding Binary Weight Deep Neural Networks with Layer Binarization
autotools_hello_world
This package is an GNU Autotools starter template project. It is a starting point for a C++ project.
beancount-multitool
A CLI tool that converts financial data to Beancount files. Docs:
convert-csv-schwab2pp
Converts a Charles Schwab transaction CSV file to a ready-to-import CSV file for Portfolio Performance.
csv2ical
Convert a CSV file with event information to an iCalendar ICS file, which can be imported into Google Calendar, Microsoft Outlook and etc.
MotionRecorder
An iOS device motion recorder, which records sensor data to csv files.
notebooks
A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker Hub:
ray-pytorch-lightning-mlflow
Example MNIST training using the following MLops tech stack: Ray, PyTorch Lightning, PyTorch, MLflow and Python 3.10.12.
rlan's Repositories
rlan/notebooks
A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker Hub:
rlan/convert-csv-schwab2pp
Converts a Charles Schwab transaction CSV file to a ready-to-import CSV file for Portfolio Performance.
rlan/csv2ical
Convert a CSV file with event information to an iCalendar ICS file, which can be imported into Google Calendar, Microsoft Outlook and etc.
rlan/MotionRecorder
An iOS device motion recorder, which records sensor data to csv files.
rlan/beancount-multitool
A CLI tool that converts financial data to Beancount files. Docs:
rlan/bitbar-plugins
Plugins for BitBar
rlan/cpp-env
Prebuilt C++ development environment in Ubuntu. Docker images:
rlan/docker
Base docker images. Check website for build status:
rlan/mlmt
Machine Learning Multi-Tool: A collection of loosely organized code to assist machine learning research.
rlan/tailscale-caddy-docker-compose
Running a service behind Tailscale and Caddy reverse proxy using Docker Compose
rlan/quality-of-life
An opinionated open-source data pack to improve quality of life in vanilla Minecraft single-player gameplay.
rlan/ray-pytorch-lightning-mlflow
Example MNIST training using the following MLops tech stack: Ray, PyTorch Lightning, PyTorch, MLflow and Python 3.10.12.
rlan/audiobookshelf-app
Mobile application for Audiobookshelf
rlan/blowfish
Personal Website & Blog Theme for Hugo
rlan/condor_monitor
A web-based status/monitor, written in PHP, for the Condor Project (http://research.cs.wisc.edu/condor/).
rlan/gym
A toolkit for developing and comparing reinforcement learning algorithms.
rlan/htcondor
HTCondor configuration for GPU jobs
rlan/iterative_training
Iterative Training: Finding Binary Weight Deep Neural Networks with Layer Binarization
rlan/libutil
A CPP utility library. Currently developed for personal needs.
rlan/lynx
A simple links theme for Hugo built with Tailwind CSS.
rlan/mattermost_docker
Install Mattermost server via Docker
rlan/mldock
Base machine learning docker images. Check website for build status:
rlan/models
Models and examples built with TensorFlow
rlan/pyml
A collection of loosely organized code to assist machine learning research.
rlan/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
rlan/ray-pytorch-lightning
Example MNIST training using the following tech stack: Ray, PyTorch Lightning, PyTorch and Python 3.10.12.
rlan/ros
ROS development. Check website for build status:
rlan/rosgo
Pure Go implementation of ROS client library
rlan/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
rlan/start-page
A start page built with Material for MkDocs.