phu-pmh Goto Github PK

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-learning-papers

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

beginner_nlp

A curated list of beginner resources in Natural Language Processing

bert_trees

compare-mt

A program to compare language generation results and extract salient features

cs6101

NUS CS6101 : Deep Learning for NLP (which is based on Richard Socher's Stanford CS244D)

datasciencecourse

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

datasharing

The Leek group guide to data sharing

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

dl4nlp

Deep Learning for NLP resources

ds-ga-1011-fall2017

DS-GA-1011 Natural Language Processing with Representation Learning

error-repair-parsing

Error-repair Dependency Pasring for Ungrammatical Texts (ACL 2017)

europython2016_dl-nlp

Introduction to Deep Learning for Natural Language Processing

event-jekyll-theme

Jekyll Theme package for your event

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

explore-myanmar-covid19-data

fairseq-1

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fasttext

Library for fast text representation and classification.

font-awesome-svg-png

Font Awesome split to individual SVG and PNG files of different sizes along with Node.JS based generator

gdgyangon

Code Examples for my presentation at GDG DevFest Yangon. Presentation Slides can be found at https://goo.gl/aU60Zd .

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

grayscale-theme

Jekyll theme based on Grayscale Start Bootstrap theme

infersent

Sentence embeddings (InferSent) and training code for NLI.

ir17

irt-leaderboard

Leaderboards are widely used in NLP and push the field forward. While leaderboards are a straightforward ranking of NLP models, this simplicity can mask nuances in evaluation items (examples) and subjects (NLP models). Rather than replace leaderboards, we advocate a re-imagining so that they better highlight if and where progress is made. Building on educational testing, we create a Bayesian leaderboard where latent subject skill and latent item difficulty predict correct responses. Using this model, we analyze the reliability of leaderboards. Afterwards, we show the model can guide what annotate, identify annotation errors, detect overfitting, and identify informative examples.

jekyll-mono

Jekyll-Mono is a simple and elegant GitHub Profile cum Blog theme based on Barry Clark's Jekyll-Now