edwardlib / observationsLinks
Tools for loading standard data sets in machine learning
☆204Updated 2 years ago
Alternatives and similar repositories for observations
Users that are interested in observations are comparing it to the libraries listed below
Sorting:
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- Some example scripts on pytorch☆197Updated 3 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆111Updated 8 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆380Updated 8 years ago
- Benchmark and build RL architectures that can do multitask and transfer learning.☆144Updated 2 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆208Updated 7 years ago
- Implementation of Sequential Variational Autoencoder☆90Updated 8 years ago
- ☆62Updated 8 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆192Updated 2 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆134Updated 8 years ago
- Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution☆51Updated 8 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆219Updated 6 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆232Updated 6 years ago
- Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.☆111Updated 3 years ago
- TensorFlow implementation of COCOB☆95Updated 2 years ago
- Deep generative models for semi-supervised learning.☆109Updated 8 years ago
- Implementation of VLAE☆216Updated 7 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028☆202Updated 2 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated last year
- A variational recurrent neural network implementation in tensorflow☆104Updated 7 years ago
- ICLR Reproducibility Challenge 2019☆217Updated 6 years ago
- Hierarchical Mixture of Experts,Mixture Density Neural Network☆45Updated 8 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆361Updated 6 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 7 years ago
- Guided Evolutionary Strategies☆272Updated 2 years ago
- An extension to Sacred for automated hyperparameter optimization.☆59Updated 7 years ago