huji-deep Goto Github PK

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"

gsn

Efficient implementation of Generative Stochastic Networks

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.

maps

GPU Optimization and Memory Abstraction Framework

netket

Machine learning algorithms for many-body quantum systems

nice

overlapsandexpressiveness

Experiments for the paper "On the Expressive Power of Overlapping Architectures of Deep Learning"

simnets-tf

SimNets implementation in TensorFlow

spn-opt-discrim

Adaptation of SPN parameter learning by Zhao et al. to support classification under missing data setting.

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.

tensorflow-wavenet

A TensorFlow implementation of DeepMind's WaveNet paper