kunwooch Goto Github PK

appearance-flow

A deep learning framework for synthesizing novel views of objects and scenes

covarianceestimation-massivemimo

This is the code that generates the figures in the paper titled "Covariance Matrix Estimation for Massive MIMO" authored by Karthik Upadhya and Sergiy A. Vorobyov and published in IEEE Signal Processing Letters, vol. 25, no. 4, pp. 546-550, April 2018.

den

Lifelong Learning with Dynamically Expandable Networks

eval-ad5370

AD537x Interface Library

factorized

Code for the paper "Learning Factorized Multimodal Representations", ICLR 2019

feedbackprop

CVPR2018 Feedback-prop: Convolutional Neural Network Inference under Partial Evidence

i6-seq2seq

Testing out different seq2seq models in TensorFlow, and an implementation of a neural transducer.

keras_lstm_vae

Keras implementation of LSTM Variational Autoencoder

linux-80211n-csitool-supplementary

802.11n CSI Tool based on iwlwifi and Linux-2.6

lorcon

multi-input-multi-output-communication

MIMO simulation and signal detection.

multiview2novelview

An official TensorFlow implementation of "Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence" (ECCV 2018) by Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, and Joseph J. Lim

ns3-mmwave-ho

ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.

probnik

Test various aspects of network interactions from your clients.

python-uhd

A Python 3 C++ extension to simplify development using USRP software-defined radios.

sandbox

Play time!

starter-hugo-academic

tensorflow-cmake

TensorFlow examples in C, C++, Go and Python without bazel but with cmake and FindTensorFlow.cmake

tikz-network

A tool to visualize complex networks in LaTeX

vae-seq

Variational Auto-Encoders in a Sequential Setting.