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adversarialvariationalbayes

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

ai_ml_osm

2011-2012, with John FisherIII, Maurice Fallon, modeling driver history using Can bus messages

al-folio

A beautiful Jekyll theme for academics

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

awd-lstm-lm

bdmc

PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo

began-pytorch

in progress

bnaf

Pytorch implementation of Block Neural Autoregressive Flow (http://arxiv.org/abs/1904.04676)

bpl

Bayesian Program Learning model for one-shot learning

caffe

Caffe: a fast open framework for deep learning.

caffe-dev

customized caffe-dev

caffe-fast-rcnn

Caffe fork that supports Fast R-CNN

caffe-googlenet-bn

re-implementation of googlenet batch normalization

caffe-googlenet-bn-experiment

re-implementation of googlenet batch normalization

caffe-posenet-alexkendall

Implementation of PoseNet

caffe-posenet-googlenet

caffe-posenet-googlenet

cointrol

Bitcoin trading bot with a real-time dashboard for Bitstamp.

contrib

Implementations of ideas from recent papers

cudnn.torch

Torch-7 FFI bindings for NVIDIA CuDNN

cunn

dcgan.torch

A torch implementation of http://arxiv.org/abs/1511.06434

dcgan_code

Deep Convolutional Generative Adversarial Networks

ddo

Official codebase for "Score-based Diffusion Models in Function Space"

deep-residual-networks

Deep Residual Learning for Image Recognition

deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

document-qa

dynamic-coattention-network-plus

Dynamic Coattention Network Plus (DCN+) TensorFlow implementation. Question answering using Deep NLP.

dynamic-evaluation

Dynamic evaluation for pytorch language models, now includes hyperparameter tuning

estimating-gradients-without-replacement

Estimating Gradients for Discrete Random Variables by Sampling without Replacement