Pinned Repositories
BDA-Exercises
My answer and codes for some exercises in Bayesian Data Analysis (3rd Ed), in IPython Notebook format
double-cv
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models
gp-infer-net
Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019
hmm
A Toy implementation of Hidden Markov Model (HMM)
mirror-stein-samplers
Sampling with Mirrored Stein Operators
multires-conv
Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
rodeo
Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)
solvegp
Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)
spectral-stein-grad
Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)
zhusuan
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
thjashin's Repositories
thjashin/multires-conv
Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
thjashin/gp-infer-net
Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019
thjashin/spectral-stein-grad
Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)
thjashin/solvegp
Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)
thjashin/rodeo
Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)
thjashin/mirror-stein-samplers
Sampling with Mirrored Stein Operators
thjashin/BDA-Exercises
My answer and codes for some exercises in Bayesian Data Analysis (3rd Ed), in IPython Notebook format
thjashin/double-cv
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models
thjashin/hmm
A Toy implementation of Hidden Markov Model (HMM)
thjashin/zhusuan
A Library for Bayesian Deep Learning, Generative Models
thjashin/kblearn
Build a Concept Learner from Large-Scale Knowledge Base
thjashin/BM
A toy Boltzmann Machine
thjashin/dip
MSR-Bing: ACM MM14 Grand Challenge
thjashin/tensorflow
Computation using data flow graphs for scalable machine learning
thjashin/996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
thjashin/AdversarialVariationalBayes
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
thjashin/aistats2022
March 28-30, Virtual Conference
thjashin/aistats2023
April 25-27, Valencia, Spain
thjashin/GPflow-Slim
customized GPflow with simple Tensorflow API
thjashin/GPflowSampling
Code for efficiently sampling functions from GP(flow) posteriors
thjashin/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
thjashin/infot
Some exercises of information theory.
thjashin/just-the-docs
A modern, high customizable, responsive Jekyll theme for documention with built-in search.
thjashin/Mallet
thjashin/parmesan
Variational and semi-supervised neural network toppings for Lasagne
thjashin/state-spaces
Sequence Modeling with Structured State Spaces
thjashin/thjashin.github.io
thjashin/us-ip-locator
US IP Locator
thjashin/Yahoo_LDA
Yahoo!'s topic modelling framework using Latent Dirichlet Allocation