gokceneraslan / neuralnet_countmodelsLinks
Count models with TensorFlow and Keras
☆47Updated 6 years ago
Alternatives and similar repositories for neuralnet_countmodels
Users that are interested in neuralnet_countmodels are comparing it to the libraries listed below
Sorting:
- In which I try to demystify the fundamental concepts behind Bayesian deep learning.☆123Updated 7 years ago
- Kernel Mixture Network implementation with some minor tweaks☆45Updated 7 years ago
- Collapsed Variational Bayes☆71Updated 5 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated 10 months ago
- ☆98Updated 7 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Applied Probabilistic Programming & Bayesian Machine Learning (MIT IAP 2017)☆33Updated 8 years ago
- Playing with various deep learning tools and network architectures☆70Updated 7 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆48Updated 8 years ago
- Hyper-parameter optimization for Keras☆46Updated 4 years ago
- A toy model of Generative Adversarial Networks☆24Updated 8 years ago
- Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defin…☆217Updated 7 years ago
- Tools for loading standard data sets in machine learning☆203Updated 2 years ago
- convert a lot of zeros and ones to fewer real numbers☆23Updated 10 years ago
- Some experiments into explaining complex black box ensemble predictions.☆75Updated 5 years ago
- Exploration of methods for coloring t-SNE.☆219Updated 8 years ago
- Supporting notebooks and data from hypertools paper☆147Updated 6 years ago
- Software to create Precision-Recall-Gain curves and calculate area under the curve☆40Updated 2 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated last year
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆103Updated 8 years ago
- Bernoulli Embeddings for Text☆83Updated 7 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- A stacked generalization framework. Built on top of scikit learn☆57Updated 2 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Python implementation of Robust Continuous Clustering☆105Updated 5 years ago
- Edward content including papers, posters, and talks☆91Updated 4 years ago
- Poisson matrix factorization and autotagger☆43Updated 9 years ago
- Python Wrapper for FIt-SNE☆45Updated 4 years ago