cleverer123

cayley

An open-source graph database

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

kaggle-CrowdFlower

1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.

MemNN

Memory Networks implementations

MLBox

MLBox is a powerful Automated Machine Learning python library.

Texygen

A text generation benchmarking platform

ConvE

Convolutional 2D Knowledge Graph Embeddings resources

awesome-question-answering

Resources, datasets, papers on Question Answering

DeepLearningTutorial

Deep learning tutorial in Chinese/深度学习教程中文版

CS231n-2017

Completed the CS231n 2017 spring assignments from Stanford university

scikit-kge

Python library to compute knowledge graph embeddings

notes-on-dirichlet-processes

:game_die: Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

CS231

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

complex

Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).

DeepChatModels

Conversation models in TensorFlow. (website removed)

knowledge-graph-embeddings

Implementations of Embedding-based methods for Knowledge Base Completion tasks

bnpy

Bayesian nonparametric machine learning for Python

holographic-embeddings

Code for experiments in the AAAI 2016 paper "Holographic Embeddings of Knowledge Graphs"

tensorflow-socher-ntn

Reimplementation of "Reasoning With Neural Tensor Networks for Knowledge Base Completion" (Socher, Chen 2013) in Google's TensorFlow framework. MIT 6.806 Final Project. NOTE: Not maintained.

SimpleQA

SimpleQuestions code corresponding to publication at https://arxiv.org/abs/1604.00727

wikidata-simplequestions

Mapping of the SimpleQuestions dataset to Wikidata

Embedding

Knowledge Embedding Framework Powered by XiaoHan.

PyNPB

Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).

NonparametricKNN

A KNN regressor that gives predictions based on customized loss function.

RelNN

RelNN is a novel first-order deep neural model for relational learning.

deepDB

Neural tensor network for KB completion ( http://papers.nips.cc/paper/by-source-2013-504 )

HolStep-Tree

dirichletprocess

♻ Tools for Dirichlet Processes

CS231N

My solutions to CS231N (Convolutional Neural Networks for Visual Recognition, Spring 2017)

TensorFlow-TransX