edwardlib / observations
Tools for loading standard data sets in machine learning
☆203Updated 2 years ago
Alternatives and similar repositories for observations:
Users that are interested in observations are comparing it to the libraries listed below
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆376Updated 8 years ago
- Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704☆135Updated 7 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆358Updated 5 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 5 years ago
- Gaussian Processes in Pytorch☆75Updated 4 years ago
- Guided Evolutionary Strategies☆268Updated last year
- Probabilistic Programming and Statistical Inference in PyTorch☆109Updated 7 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆217Updated 6 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆183Updated last year
- Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]☆145Updated 4 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆246Updated 7 years ago
- ICLR Reproducibility Challenge 2019☆219Updated 5 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆114Updated 8 years ago
- ☆62Updated 7 years ago
- Edward content including papers, posters, and talks☆90Updated 4 years ago
- ☆153Updated 6 years ago
- Cleaned original source code from my NIPS publication☆153Updated 7 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 7 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆127Updated 3 years ago
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated 5 months ago
- supercell☆191Updated 7 years ago
- Batch normalized LSTM for tensorflow☆179Updated 8 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆98Updated 8 years ago
- auto-tuning momentum SGD optimizer☆287Updated 5 years ago
- Code to accompany the paper "Learning Graphical State Transitions"☆169Updated 7 years ago
- Tensorflow implementation for DilatedRNN☆346Updated 7 years ago
- Understanding normalizing flows☆131Updated 5 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆133Updated 7 years ago