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abstractsummarization

In this project I try to build state-of-the-art abstract summarization

adanet

Fast and flexible AutoML with learning guarantees.

adaptive-softmax

Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)

additive-gps

Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

adversarialvariationalbayes

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

alwr

Active Learning with Rationales

ampligraph

Python library for Representation Learning on Knowledge Graphs

analyzing-uncertainty-nmt

Analyzing Uncertainty in Neural Machine Translation

anomalydetectiontransformations

A simple and effective method for single-class classification of images

attention-is-all-you-need-keras

A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

attention_is_all_you_need

[WIP] Attention Is All You Need (Vaswani et al. 2017) by Chainer.

attentive-pooling-networks

TensorFlow implementation of Attentive Pooling Networks (AP-CNN, AP-biLSTM)

autograd

Efficiently computes derivatives of numpy code.

autoner

Learning Named Entity Tagger from Domain-Specific Dictionary

autoweka

Auto-WEKA

awesome-algorithms

A curated list of awesome places to learn and/or practice algorithms.

awesome-bayesian-deep-learning

A curated list of resources dedicated to bayesian deep learning

awesome-blockchains

A collection about awesome blockchains - open distributed public databases w/ crypto hashes incl. git ;-). Blockchains are the new tulips :tulip::tulip::tulip:. Distributed is the new centralized.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-machine-learning

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

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!

awesome-sentiment-analysis

😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤

awesome-tensorflow

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

awesome-text-summarization

Text Summarization

awesome-transformer

A collection of transformer's guides, implementations and variants.

bandit-nmt

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

bayesian-neural-networks

Based on Zhusuan