HickmannLautaro

HickmannLautaro's Stars

• aimacode/aima-python

  Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

  Language:Jupyter Notebook8.3k3373623.9k

• IDSIA/sacred

  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

  Language:Python4.3k69561382

• MichalDanielDobrzanski/DeepLearningPython

  neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

  Language:Python2.8k134311.3k

• timsainb/tensorflow2-generative-models

  Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

  Language:Jupyter Notebook1k3010186

• ipython-books/cookbook-2nd-code

  Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

  Language:Jupyter Notebook739360434

• rajarsheem/libsdae-autoencoder-tensorflow

  A simple Tensorflow based library for deep and/or denoising AutoEncoder.

  Language:Python14991139

• JarnoRFB/incense

  Interactively retrieve data from sacred experiments.

  Language:Python821449

• MadhumitaSushil/SDAE

  Stacked Denoising AutoEncoder

  Language:Python764420

• miliadis/DeepVideoCS

  PyTorch deep learning framework for video compressive sensing.

  Language:Python764522

• natashamjaques/MultimodalAutoencoder

  Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Prediction"

  Language:Python716030