un-lock-me

google-research

Google Research

clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

flashtext

Extract Keywords from sentence or Replace keywords in sentences.

Deep-Learning-with-Keras

Code repository for Deep Learning with Keras published by Packt

Awesome-VAEs

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

generative-models

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

dython

A set of data tools in Python

trade-dst

Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

NPEET

Non-parametric Entropy Estimation Toolbox

Aggregation-Cross-Entropy

Aggregation Cross-Entropy for Sequence Recognition. CVPR 2019.

CorEx

CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.

medium-articles

text-autoencoders

stackoverflow-pandas-canonicals

A directory listing of all my pandas canonicals on Stack Overflow to date.

entropy_estimators

Estimators for the entropy and other information theoretic quantities of continuous distributions

tweetentropy

Twitter as an extra entropy source

SentiLARE

Codes for our paper "SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge" (EMNLP 2020)

OCR-CRNN-CTC

ocr, cnn+lstm+ctc, crnn, recognition model, tensorflow

SentiBERT

Code for SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics (ACL'2020).

Neural-Document-Modeling

PyTorch implementations of NVDM, GSM, NTM, NTMR

inverse_distance_weighting

Interpolation in D-dimensional spaces using inverse distance weighted, k-nearest neighbours

mathematics-for-machine-learning

A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematics essential to understanding machine learning.

adverserial-autoencoder-keras

Keras Implementation of adverserial autoencoder (AAE)

joint_vae

Code to build VAE models that are jointly conditioned.

topic-coherence-sensitivity

Code to compute topic coherence for several topic cardinalities and aggregate scores across them

lstm_autoencoder

LSTM Autoencoder that works with variable timesteps

LSTM_autoencoder

ubuntuTest

first trial in ubuntu system

WassersteinGAN

Demonstration of Wasserstein GAN. Using Earth Mover's distance to measure similarity between two distributions

BigDataAnalytics