Pinned Repositories
AAE-tensorflow
Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)
deepbayes-2018
Seminars DeepBayes Summer School 2018
deepbayes-2019
Practical assignments of the Deep|Bayes summer school 2019
few-shot
Repository for few-shot learning machine learning projects
few-shot-learning
Implementation of various transfer learning and few-shot learning techniques on image data.
fsdl-text-recognizer-2021-labs
Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
fsdl-text-recognizer-2022-labs
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
InfoGAN
manim
A community-maintained Python framework for creating mathematical animations.
nbconvert
Wordpress plugin to convert notebooks into blog posts
layerwise's Repositories
layerwise/AAE-tensorflow
Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)
layerwise/deepbayes-2018
Seminars DeepBayes Summer School 2018
layerwise/deepbayes-2019
Practical assignments of the Deep|Bayes summer school 2019
layerwise/few-shot
Repository for few-shot learning machine learning projects
layerwise/few-shot-learning
Implementation of various transfer learning and few-shot learning techniques on image data.
layerwise/fsdl-text-recognizer-2021-labs
Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
layerwise/fsdl-text-recognizer-2022-labs
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
layerwise/InfoGAN
layerwise/manim
A community-maintained Python framework for creating mathematical animations.
layerwise/nbconvert
Wordpress plugin to convert notebooks into blog posts
layerwise/pyAruco
A python wrapper for Aruco
layerwise/pynao_exploration
A python framework that combines Explauto and NAOqi.
layerwise/training
Kursmaterialien