Pinned Repositories
AI
Microsoft AI
AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.
ARSM_LETOR
BNBR
BNPseq
Bayesian Nonparametric Differential Expression Analysis of Sequencing Count Data
dNBFA
Covariate-Dependent Negative Binomial Factor Analysis
iVAE
VAEs and nonlinear ICA: a unifying framework
sentence-transformers-1
Sentence Embeddings with BERT & XLNet
siamakz's Repositories
siamakz/iVAE
VAEs and nonlinear ICA: a unifying framework
siamakz/BNBR
siamakz/dNBFA
Covariate-Dependent Negative Binomial Factor Analysis
siamakz/ARSM_LETOR
siamakz/ARM-gradient
Low-variance, unbiased, theoretically grounded and computationally efficient gradient for binary latent variable models, based on variable augmentation and antithetic sampling. ICLR 2019
siamakz/ARSM
Backpropagation through categorical random variables with low-variance and unbiased gradient. Application in variational auto-encoder and reinforcement learning. ICML 2019
siamakz/BiMPM
BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences
siamakz/binary-VAE
A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
siamakz/changefinder
siamakz/cifar10-fast
siamakz/Concrete-Autoencoders
siamakz/deepar
Tensorflow implementation of Amazon DeepAR
siamakz/DIP-VAE
An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar et al. (Published at ICLR 2018) https://arxiv.org/abs/1711.00848
siamakz/doc2hash
siamakz/ESRNN-GPU
PyTorch GPU implementation of the ES-RNN model for time series forecasting
siamakz/former
Simple transformer implementation from scratch in pytorch.
siamakz/gae
Implementation of Graph Auto-Encoders in TensorFlow
siamakz/hGNB
siamakz/klcpd_code
Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
siamakz/LSTNet
siamakz/mf-eng-public
siamakz/models
Models and examples built with TensorFlow
siamakz/Neural-GC
siamakz/siamakz.github.io
siamakz/Sinkhorn-GAN
Learning generative models with Sinkhorn Loss
siamakz/SIVI
Use neural network to construct expressive hierarchical distribution with a novel bound; A fast and robust variational method to estimate posterior uncertainty as accurate as MCMC. ICML 2018
siamakz/timeSVDpp_librec_based
siamakz/uivi
Code for Unbiased Implicit Variational Inference (UIVI)
siamakz/vae_cf
Variational autoencoders for collaborative filtering
siamakz/VariationalDeepSemanticHashing
The original implementation of the models and experiments of Variational Deep Semantic Hashing paper (SIGIR 2017)