thu-ml / zhusuanLinks
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
☆2,223Updated 2 years ago
Alternatives and similar repositories for zhusuan
Users that are interested in zhusuan are comparing it to the libraries listed below
Sorting:
- Seminars DeepBayes Summer School 2018☆1,046Updated 6 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,837Updated last year
- Distributed Asynchronous Hyperparameter Optimization in Python☆514Updated 11 years ago
- This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'☆1,311Updated 4 years ago
- Open-source implementation of Google Vizier for hyper parameters tuning☆1,562Updated 5 years ago
- NumPy interface with mixed backend execution☆1,103Updated 7 years ago
- Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python…☆1,134Updated 4 years ago
- Deep learning with dynamic computation graphs in TensorFlow☆1,823Updated 4 years ago
- Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)☆2,103Updated 3 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆890Updated last year
- Tutorial code on how to build your own Deep Learning System in 2k Lines☆2,018Updated 6 years ago
- Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)☆1,175Updated last year
- Tutorials and implementations for "Self-normalizing networks"☆1,586Updated 3 years ago
- Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)☆1,017Updated 7 years ago
- "Neural Turing Machine" in Tensorflow☆1,044Updated 8 years ago
- A python package of Zeroth-Order Optimization (ZOOpt)☆412Updated 3 years ago
- Gaussian processes in TensorFlow☆1,886Updated 2 months ago
- A TensorFlow implementation of the Differentiable Neural Computer.☆2,517Updated 4 years ago
- Ready to use implementations of various Deep Learning algorithms using TensorFlow.☆959Updated 7 years ago
- generate MNIST using a Variational Autoencoder☆709Updated 6 years ago
- An optimizer that trains as fast as Adam and as good as SGD.☆2,914Updated 2 years ago
- DyNet: The Dynamic Neural Network Toolkit☆3,431Updated last year
- A curated list of resources dedicated to bayesian deep learning☆416Updated 8 years ago
- ☆3,234Updated 6 years ago
- Topics Course on Deep Learning UC Berkeley☆1,301Updated 7 years ago
- Caffe code to accompany my Tutorial on Variational Autoencoders☆515Updated 8 years ago
- A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules☆3,797Updated 6 years ago
- PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM☆1,262Updated 3 years ago
- High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and …☆3,095Updated last year
- Build Graph Nets in Tensorflow☆5,385Updated 2 years ago