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pfrendl's Projects

a2c icon a2c

An implementation of the Synchronous Advantage Actor Critic (A2C) reinforcement learning algorithm in PyTorch.

batch_norm_test icon batch_norm_test

This repository experimentally demonstrates that while batch normalization helps with classification, it can significantly hurt autoencoding performance.

collision_detection icon collision_detection

Collision detection implemented with the sweep and prune algorithm, written in python.

coord_conv icon coord_conv

An evaluation of the approach from the CoordConv Uber paper.

dmenu icon dmenu

My fork of the suckless dmenu

dwm icon dwm

My fork of the suckless dwm

dwmblocks icon dwmblocks

My build of the modular status bar dwmblocks

grokking icon grokking

Neural network training experiments demonstrating the grokking phenomenon reported by Power et al., 2022

he_init_variance icon he_init_variance

This repository demonstrates diminishing input signal variance when using the Kaiming He weight initialization method.

mustat icon mustat

Minimalistic status bar written in c, inspired by dwmblocks.

pytorch_linear_init icon pytorch_linear_init

An experiment of the PyTorch 1.13.1 linear parameter init variance preserving properties against the He approach.

st icon st

My fork of the suckless st

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