Perusha's repositories

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imageopt

Doug Sillars Image optimization

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MLIntro

Code samples for ML Intro Talk

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applied-reinforcement-learning

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

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course-v3

The 3rd edition of course.fast.ai

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mlc-proj-soccer

Using dm_control's soccer and SB3

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rl-playground

This repo is for members of the rl-implementation channel on MLC Discord to play with RL algorithms and learn.

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fastai-v4-l2

Deploying trained model with widgets using Binder and Voila

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google-prediction

Using the Google Prediction APIs

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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.

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ml_ng_notes

Notes from Coursera ML Course

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octave-ml-utils

Utils written during ML Course

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open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

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OpenMined

The OpenMined Unity Application

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Practical_RL

A course in reinforcement learning in the wild

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pyspark_jd

Jon Dinu's Intro to Spark course with my added comments and notes

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PySyft

Encrypted Deep Learning Library

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python_ml

Python ML Snippets and Udacity exercises

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rl-playground-old

This repo is for members of the rl-implementation channel on MLC Discord to play with RL algorithms and learn.

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rl_db

rl algos

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speech

GCP Speech API Samples

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tf_basics

TF basics

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TipTime

Android Kotlin projects

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UoR-Bayesian-Course

UoR Bayesian Modelling Course with R and Stan

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vae_playground

Coding up variants of VAEs with RL algos

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