daithang1111 Goto Github PK

awesome-deep-learning-papers

The most cited deep learning papers

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

d3-workshop

Data visualization and mapping using D3js.

daithang1111.github.io

Personal Blog

fastbook

The fastai book, published as Jupyter Notebooks

functions-cron

gensim

Topic Modelling for Humans

grimmersenatepressreleases

Grimmer's Senate Press Releases

kubeflow

Machine Learning Toolkit for Kubernetes

lda-svi

an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference

mapreduce-assignments

For MapReduce class

mr.lda

Scalable Topic Modeling using Variational Inference in MapReduce

mr.lda-data

Sample Data for Mr.LDA

mydata

open data for all

myrepo

Utilities to work with text

nltk

NLTK Source

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

pressvisualization

Visualization of press release using topic model

psl_pltm

My ongoing project on topic model and psl

stminsights

A Shiny Application for Inspecting Structural Topic Models

stmprinter

Print multiple stm model dashboards to a pdf file for inspection

streaming_vb

This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neural Information Processing Systems, 2013. papers.nips.cc/paper/4980-streaming-variational-bayes.pdf

tf_ner

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

topic_interpretability

Computation of the semantic interpretability of topics produced by topic models.

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

uidweb

Testing the uniform information theory in text (draft)

warcbase

Warcbase is an open-source platform for managing analyzing web archives