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ad-papers

Papers on Computational Advertising

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

attention-is-all-you-need-keras

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

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

awesome-graph-embedding

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛

bert

TensorFlow code and pre-trained models for BERT

bert-keras

Keras implementation of BERT with pre-trained weights

chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm预训练模型）

deep_learning_object_detection

A paper list of object detection using deep learning.

deepctr

DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layer which can be used to build your own custom model easily.

deepfm-keras

deepgraphcnnfortexts

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

faiss

A library for efficient similarity search and clustering of dense vectors.

gumbel_sinkhorn

hgru4rec

Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

keras

Deep Learning for humans

keras-quora-question-pairs

A Keras model that addresses the Quora Question Pairs dyadic prediction task.

models

Models and examples built with TensorFlow

mt-reading-list

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

node2vec

node2vec-1

Implementation of the node2vec algorithm.

obstacle-tower-challenge

Repository for the MLAgents Obstacle Tower challenge

prml

PRML algorithms implemented in Python

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

qanet

A Tensorflow implementation of QANet for machine reading comprehension