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acl2018-semantic-parsing-tutorial

Materials from the ACL 2018 tutorial on neural semantic parsing

ad-papers

Papers on Computational Advertising

agentboard

An Analytical Evaluation Board of Multi-turn LLM Agents

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

anserini

A Lucene toolkit for replicable information retrieval research

antk

Automated Neural Graph Toolkit. high level machine learning toolkit built on top of Google's Tensorflow to facilitate rapid prototyping of Neural Network models which may consist of multiple models chained together.

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

awesome-tensorflow

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

bert

TensorFlow code and pre-trained models for BERT

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

birch

Document ranking via sentence modeling using BERT

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

char-rnn-tensorflow-1

Multi-layer Recurrent Neural Networks for character-level language models in Python using Tensorflow by 1.3 version (Estimator, Experiment, Dataset)

chatbot-retrieval

Dual LSTM Encoder for Dialog Response Generation

clickmodels

ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cove

dcgan-tensorflow

A tensorflow implementation of Deep Convolutional Generative Adversarial Networks

deep-learning-notes

Experiments with Deep Learning

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-semantic-similarity-model

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

dl-to-rank

Learning to Rank with Deep Neural Networks

doc2vec_tf

dssm

entityduetneuralranking

Entity-Duet Neural Ranking Model

fasttext

Library for fast text representation and classification.

fasttext_multilingual

Multilingual word vectors in 78 languages

gensim

Topic Modelling for Humans

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"