ardendertat / Applied Deep Learning With Keras
Deep Learning examples with Keras.
Stars: ✭ 227
Labels
Projects that are alternatives of or similar to Applied Deep Learning With Keras
Gan steerability
On the "steerability" of generative adversarial networks
Stars: ✭ 225 (-0.88%)
Mutual labels: jupyter-notebook
Poretools
a toolkit for working with Oxford nanopore data
Stars: ✭ 225 (-0.88%)
Mutual labels: jupyter-notebook
Zoom Learn Zoom
computational zoom from raw sensor data
Stars: ✭ 224 (-1.32%)
Mutual labels: jupyter-notebook
Set transformer
Pytorch implementation of set transformer
Stars: ✭ 224 (-1.32%)
Mutual labels: jupyter-notebook
Tutorial
Tutorial covering Open Source tools for Source Separation.
Stars: ✭ 223 (-1.76%)
Mutual labels: jupyter-notebook
Lrp toolbox
The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.
Stars: ✭ 225 (-0.88%)
Mutual labels: jupyter-notebook
Example Scripts
Example Machine Learning Scripts for Numerai's Tournament
Stars: ✭ 223 (-1.76%)
Mutual labels: jupyter-notebook
Attention network with keras
An example attention network with simple dataset.
Stars: ✭ 225 (-0.88%)
Mutual labels: jupyter-notebook
Datascienceprojects
The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.
Stars: ✭ 223 (-1.76%)
Mutual labels: jupyter-notebook
Text summarization with tensorflow
Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.
Stars: ✭ 226 (-0.44%)
Mutual labels: jupyter-notebook
Deeplearning cv notes
📓 deepleaning and cv notes.
Stars: ✭ 223 (-1.76%)
Mutual labels: jupyter-notebook
Rethinking Numpyro
Statistical Rethinking (2nd ed.) with NumPyro
Stars: ✭ 225 (-0.88%)
Mutual labels: jupyter-notebook
Source separation
Deep learning based speech source separation using Pytorch
Stars: ✭ 226 (-0.44%)
Mutual labels: jupyter-notebook
Gan Tutorial
Simple Implementation of many GAN models with PyTorch.
Stars: ✭ 227 (+0%)
Mutual labels: jupyter-notebook
Theano Tutorial
A collection of tutorials on neural networks, using Theano
Stars: ✭ 226 (-0.44%)
Mutual labels: jupyter-notebook
Tf Vqvae
Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
Stars: ✭ 226 (-0.44%)
Mutual labels: jupyter-notebook
Applied Deep Learning with Keras
This repository contains the ipython notebooks for the following blog posts:
Part 1 - Artificial Neural Networks: https://towardsdatascience.com/applied-deep-learning-part-1-artificial-neural-networks-d7834f67a4f6
Part 2 - Real World Case Studies: https://towardsdatascience.com/applied-deep-learning-part-2-real-world-case-studies-1bb4b142a585
Part 3 - Autoencoders: https://towardsdatascience.com/applied-deep-learning-part-3-autoencoders-1c083af4d798
Part 4 - Convolutional Neural Networks: https://towardsdatascience.com/applied-deep-learning-part-4-convolutional-neural-networks-584bc134c1e2
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].