akashgit

autoencoding_vi_for_topic_models

Tensorflow implementation for prodLDA and NVLDA.

VEEGAN

VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning

watsonstudiogpunotebook

Quick start guide to setting up a GPU powered notebook in Watson Studio and train a GAN.

stylegan2_wt

CNCE4VAE

cob

GRAM-nets

pytorch-avitm

PyTorch implementation of AVITM

akashgit.github.io

bnp2py

python version of bnp2

bregmn_anon

calcConv

conditional-ds-gan

DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

DeepPAM

Autoencoding Variational Inference For Deep PAM

GanModeCollapseEvaluation

Code for training Generative Adversarial Networks (GANs) and evaluating the models' mode collapse

getting-started

Getting Started Material

groupwebsite

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

hotel

NN implementation

hyde

A brazen two-column theme for Jekyll.

instructlab

InstructLab Command-Line Interface. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data.

keras-examples

onlineldavb

Online variational Bayes for latent Dirichlet allocation (LDA)

openssa

OpenSSA: Small Specialist Agents—Enabling Efficient, Domain-Specific Planning + Reasoning for AI

Pendulum

plot2notion

poole

The Jekyll Butler.

preProcessUCI

Over time I repeatedly use these lines of code but always forget that I already wrote them.

small_norb

Python wrapper to small NORB dataset

variational-text-tensorflow

TensorFlow implementation of Neural Variational Inference for Text Processing