GaborLengyel / Finite-Gaussian-Mixture-modelsLinks
Tutorial for finite Gaussian mixture models in ptyhon notebook
☆31Updated 8 years ago
Alternatives and similar repositories for Finite-Gaussian-Mixture-models
Users that are interested in Finite-Gaussian-Mixture-models are comparing it to the libraries listed below
Sorting:
- This is the code for "Gaussian Mixture Models - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube☆146Updated 6 years ago
- ☆29Updated 7 years ago
- This is the Code for "How Do I Find the Best Hyperparameters?- The Math of Intelligence #7" By Siraj Raval on Youtube☆62Updated 7 years ago
- Keras callback example☆56Updated 7 years ago
- Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…☆107Updated 7 years ago
- Tensorflow example of a conv GAN on MNIST.☆97Updated 7 years ago
- Experiments with beta-VAE to learn disentangled representations from the data☆65Updated 6 years ago
- Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…☆144Updated 2 years ago
- Applying transfer learning to a custom dataset by retraining Inception's final layer☆93Updated 8 years ago
- A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/☆82Updated 8 years ago
- Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.☆57Updated 7 years ago
- This is the code for "How to Do Win Slot Machines - Intro to Deep Learning #13' by Siraj Raval on YouTube☆82Updated 8 years ago
- Keras implementation of Deep Learning papers☆94Updated 6 years ago
- A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.☆120Updated 6 years ago
- Workshop on using transfer learning for image classification tasks. Presented at DO!Hack 2017☆16Updated 7 years ago
- Implement most common semantic segmentation algorithms☆26Updated 7 years ago
- Everything you need to know about CNN in PyTorch☆11Updated 6 years ago
- Feeding images of time series to Conv Nets! (Tensorflow + Keras)☆49Updated 8 years ago
- A research into the workflow for Kaggle competition (and data science in general) collaboratively☆48Updated 8 years ago
- For those who already have some basic idea about deep learning, and preferably are familiar with PyTorch.☆47Updated 6 years ago
- This repo will contain the resources available in my blog for learning☆92Updated 6 years ago
- A collection of small code snippets for learning how to code☆58Updated 7 years ago
- ☆40Updated 8 years ago
- Master Thesis. Code written in python. (Keras with Tensorflow backend)☆22Updated 5 years ago
- A Keras-based library for analysis of time series data using deep learning algorithms.☆117Updated 7 years ago
- ☆26Updated 7 years ago
- Several implementations of the kernel-based activation functions☆62Updated 6 years ago
- The companion code for How to Autoencode your Pokemon☆80Updated 7 years ago
- Recurrent Neural Net Demo code for Build an RNN in 5 Min on Youtube☆42Updated 3 years ago
- Deconvnet example based on Keras☆65Updated 6 years ago