Youssef Kashef (kashefy)

kashefy

Geek Repo

Location:Berlin, Germany

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Organizations
nigroup
TWOEARS

Youssef Kashef's repositories

mi1notes

My notes for Prof. Klaus Obermayer's "Machine Intelligence 1 - Supervised Learning" course at the TU Berlin

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mi2notes

My notes for Prof. Klaus Obermayer's "Machine Intelligence 2 - Unsupervised Learning" course at the TU Berlin

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elm

The ELM Library Project, a framework for building learning machines.

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caffe

Caffe: a fast open framework for deep learning.

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rsatools

Collection of tools for RSA

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auditory-front-end

Two!Ears Auditory Front-End module

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Auditory-Machine-Learning-Training-and-Testing-Pipeline

Training of the identity knowledge sources of the blackboard system

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blackboard-system

Two!Ears Cognition

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caffe-with-spearmint

Automatic Caffe parameter search via Spearmint Bayesian optimisation

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documentation

Sphinx documentation of Two!Ears

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examples

Example application of the Two!Ears Auditory Model

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generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

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grk_kempter_episodic_mem

Exercise to GRK Lecture "the Neural Basis of Episodic Memory"

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IntrinsicDimDeep

Code for the intrinsic dimensionality estimate of data representations

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java_jail

chroot java jail, and JSON java trace printer

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Multi-Task-Learning-PyTorch

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

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network

basic implementation for training neural networks as described in Michael Nielsen' online book "Neural Networks and Deep Learning"

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nideep

collection of utilities to use with deep learning libraries (e.g. tensorflow, caffe)

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nip-convnet

Convolutional Autoencoder implemented in Tensorflow

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prometheus-smartctl

HDD S.M.A.R.T exporter for Prometheus written in Python

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RSA_object_classification

RSA on neural networks: image classification task

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segmentation-training-pipeline

This repository contains all functions necessary to train the SegmentationKS of the blackboard system.

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seism

Supervised Evaluation of Image Segmentation Methods

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taskgrouping

Code for Which Tasks Should Be Learned Together in Multi-task Learning?

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transform

[WIP] runners and scripts for transformer nets

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TwoEars

Two!Ears Auditory Model - Official releases

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w-2018

ML on world cup data

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