Perusha's repositories
applied-reinforcement-learning
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
mlc-proj-soccer
Using dm_control's soccer and SB3
rl-playground
This repo is for members of the rl-implementation channel on MLC Discord to play with RL algorithms and learn.
fastai-v4-l2
Deploying trained model with widgets using Binder and Voila
google-prediction
Using the Google Prediction APIs
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
ml_ng_notes
Notes from Coursera ML Course
moodlep.github.io
website
octave-ml-utils
Utils written during ML Course
open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Practical_RL
A course in reinforcement learning in the wild
pyspark_jd
Jon Dinu's Intro to Spark course with my added comments and notes
rl-playground-old
This repo is for members of the rl-implementation channel on MLC Discord to play with RL algorithms and learn.
UoR-Bayesian-Course
UoR Bayesian Modelling Course with R and Stan
vae_playground
Coding up variants of VAEs with RL algos