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annotated-ml-papers

Annotated papers by me on Machine Learning and Reinforcement Learning. Filled with poor jokes.

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC)

coinrun

Code for the paper "Quantifying Transfer in Reinforcement Learning"

cs229-112-deeprl

Assignments from Fall 2018 of CS229-112 Deep Reinforcement Learning - UC Berkeley

cs231n_assignments

Homework assignments for the course CS231n: Convolutional Neural Networks for Visual Recognition

cyborg-image_processing-gui

A Qt based GUI developed for testing OpenCV functions faster and comparing results easily. It helps to explain image processing operations in while taking classes on image processing or computer vision.

digitize---image-processing-game

inertialnav

Intertial Navigation System for AUV using VN100 IMU.

kaggle-icecube-neutrinos

Training code for 3rd place solution of Kaggle - IceCube - Neutrinos in Deep Ice

kaggle-severstal-steel-defect-detection

My solution for the Kaggle Contest - Severstal Steel Defect Detection - https://www.kaggle.com/c/severstal-steel-defect-detection

large-scale-curiosity

Code for the paper "Large-Scale Study of Curiosity-Driven Learning"

phasic-policy-gradient

Clone to move to Python 3.7 to make it more colab friendly

procgen-competition

Repo for Neurips 2020 ProcGen competition