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GitHub Repo https://github.com/jcbooth2/autoencoder_for_physical_layer

jcbooth2/autoencoder_for_physical_layer

This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis
GitHub Repo https://github.com/matteokarldonati/Counterfactual-Multi-Agent-Policy-Gradients

matteokarldonati/Counterfactual-Multi-Agent-Policy-Gradients

PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
GitHub Repo https://github.com/Hurleyworks/NanoguiBlock

Hurleyworks/NanoguiBlock

Cinder block for Wenzel Jakob's NanoGui widget library
GitHub Repo https://github.com/facebookresearch/ic_gan

facebookresearch/ic_gan

Official repository for the paper "Instance-Conditioned GAN" by Arantxa Casanova, Marlene Careil, Jakob Verbeek, Michał Drożdżal, Adriana Romero-Soriano.
GitHub Repo https://github.com/jakobharder/anno1800-jakobs-mods

jakobharder/anno1800-jakobs-mods

Mods for Anno 1800 created by me.
GitHub Repo https://github.com/KeyboardCamper/Tamaguino-AB

KeyboardCamper/Tamaguino-AB

A Port of Alojz Jakob’s Tamaguino to the Arduboy
GitHub Repo https://github.com/emilbjornson/massivemimobook

emilbjornson/massivemimobook

Book PDF and simulation code for the monograph "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" by Emil Björnson, Jakob Hoydis and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2017.
GitHub Repo https://github.com/LearningMobile/BookApps

LearningMobile/BookApps

Source code for the book Learning Mobile Apps by Michael Eierman and Jakob Iversen
GitHub Repo https://github.com/tizian/specular-manifold-sampling

tizian/specular-manifold-sampling

Code for "Specular Manifold Sampling for Rendering High-Frequency Caustics and Glints" (SIGGRAPH 2020) by Tizian Zeltner, Iliyan Georgiev, and Wenzel Jakob
GitHub Repo https://github.com/mmp/pbrt-v3

mmp/pbrt-v3

Source code for pbrt, the renderer described in the third edition of "Physically Based Rendering: From Theory To Implementation", by Matt Pharr, Wenzel Jakob, and Greg Humphreys.