saratkv Goto Github PK

app-dl

Deep Learning and applications in Startups, CV, NLP

artificial-intelligence-by-example

Artificial Intelligence By Example, published by Packt

controlled-text-generation

Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"

coref

BERT for Coreference Resolution

data2text-plan-py

deep-learning

Deep Learning Application Examples

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deeplearning

Deep Learning introduction and its application in various fields

glove-experiments

GloVe word vector embedding experiments (similar to Word2Vec)

handson-unsupervised-learning-with-python

HandsOn-Unsupervised-Learning-with-Python, Published by Packt

handson_unsupervised_learning_with_python

Book code turned into Jupyter notebooks

keras-applications

Reference implementations of popular deep learning models.

magenta

Magenta: Music and Art Generation with Machine Intelligence

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

playground

Play with neural networks!

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

react-firebase-starter

Boilerplate (seed) project for creating web apps with React.js, GraphQL.js and Relay

react-most-wanted

Starter kit with "Most Wanted" application features

segan

Speech Enhancement Generative Adversarial Network in TensorFlow

sentence-transformers

Sentence Embeddings with BERT & XLNet

singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

snippets

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

stargan

Official PyTorch Implementation of StarGAN - CVPR 2018

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

texar

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow

textgenrnn

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.