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alacritmux

Experimental features combining Alacritty and Tmux

antenna-array-analysis

A simple GUI tool for antenna array analysis

antenna-models

CST design files of antennas used in my researches and projects.

bayesian-hmm

A non-parametric Bayesian approach to Hidden Markov Models

bert

TensorFlow code and pre-trained models for BERT

biurnalsim

btc_arb

carnac

A utility to give some insight into how you use your keyboard

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

cremi

C++ port of remi project

cybertraders

ddtn

Repository for our upcoming code, that we used for our "Deep diffeomorphic transformer networks" paper (Accepted to CVPR 2018). Will be update during the spring of 2018.

deep-learning-with-python

Deep learning codes and projects using Python

directrandomtargetprojection

PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct feedback alignment (DFA), and direct random target projection (DRTP).

dtrx

Do The Right Extraction

eeg

eesc7v86-fall22

far-ho

Gradient based hyperparameter optimization package for TensorFlow

foundations_for_deep_learning

Building a foundation for deep learning with mathematics and neuroscience

hands-on-markov-models-with-python

Hands on Markov Models with Python, published by Packt

hdl

HDL libraries and projects

helloworld

hoag

Hyperparameter optimization with approximate gradient

hyperparameterlearningtf

Learning the impact of Hyperparameters in a deep learning model

interactive_machine_learning

IPython widgets, interactive plots, interactive machine learning

jtx1inst

A custom C API for instrumenting Jetson TX1’s SoM and SoC

keras-tcn

Keras Temporal Convolutional Network.

lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

linux

Linux kernel variant from Analog Devices; see README.md for details

lmb

Implementation of the Labelled Multi-Bernoulli Filter