Pinned Repositories
caffe-simnets
The SimNets Architecture's Implementation in Caffe
Diffusion-Probabilistic-Models
Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics
FlowKet
A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
Generative-ConvACs
Experiments from the article "Tensorial Mixture Models"
inductive-pooling
Experiments from the paper "Inductive Bias of Deep Convolutional Networks through Pooling Geometry"
Long-Term-Memory-of-Deep-RNNs
Source code for https://arxiv.org/abs/1710.09431 - On the Long-Term Memory of Deep Recurrent Networks.
OverlapsAndExpressiveness
Experiments for the paper "On the Expressive Power of Overlapping Architectures of Deep Learning"
simnets-tf
SimNets implementation in TensorFlow
spn-poon-2011
Modification of original implementation, for SPN MNIST missing data experiments
sub_task_decomposition
Official implementation of the experiments in the "Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks" paper.
HUJI Deep Learning Group's Repositories
HUJI-Deep/FlowKet
A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
HUJI-Deep/Generative-ConvACs
Experiments from the article "Tensorial Mixture Models"
HUJI-Deep/caffe-simnets
The SimNets Architecture's Implementation in Caffe
HUJI-Deep/simnets-tf
SimNets implementation in TensorFlow
HUJI-Deep/inductive-pooling
Experiments from the paper "Inductive Bias of Deep Convolutional Networks through Pooling Geometry"
HUJI-Deep/Long-Term-Memory-of-Deep-RNNs
Source code for https://arxiv.org/abs/1710.09431 - On the Long-Term Memory of Deep Recurrent Networks.
HUJI-Deep/Diffusion-Probabilistic-Models
Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics
HUJI-Deep/OverlapsAndExpressiveness
Experiments for the paper "On the Expressive Power of Overlapping Architectures of Deep Learning"
HUJI-Deep/spn-poon-2011
Modification of original implementation, for SPN MNIST missing data experiments
HUJI-Deep/sub_task_decomposition
Official implementation of the experiments in the "Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks" paper.
HUJI-Deep/GSN
Efficient implementation of Generative Stochastic Networks
HUJI-Deep/MAPS
GPU Optimization and Memory Abstraction Framework
HUJI-Deep/netket
Machine learning algorithms for many-body quantum systems
HUJI-Deep/nice
HUJI-Deep/spn-opt-discrim
Adaptation of SPN parameter learning by Zhao et al. to support classification under missing data setting.
HUJI-Deep/tensorflow-wavenet
A TensorFlow implementation of DeepMind's WaveNet paper