A game theoretic approach to explain the output of any machine learning model.

A curated list of fraud detection papers using graph information or graph neural networks

Uplift modeling and causal inference with machine learning algorithms

An Open-Source Package for Network Embedding (NE)

❗ uplift modeling in scikit-learn style in python 🐍

Large Scale Graphical Model

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)

This is a implementation of SDNE (Structural Deep Network embedding)

實作基於CNN的台鐵訂票驗證碼辨識以及驗證性高的訓練集產生器 (Simple captcha solver based on CNN and a training set generator by imitating the style of captcha)

The world's simplest facial recognition api for Python and the command line

Unsupervised Language Modeling at scale for robust sentiment classification

😎 Curated list of awesome lists

Must-read papers on network representation learning (NRL)/network embedding (NE)

TensorFlow's Visualization Toolkit

A seq2seq model that can generate summaries from fine food reviews on Amazon.

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

Stanford CoreNLP: A Java suite of core NLP tools.

Starcraft AI Research Dataset

Recurrent Neural Network - A curated list of resources dedicated to RNN

Visual Attention based OCR

Code for "Learning to Generate Reviews and Discovering Sentiment"

Experiments with statistics, python packages numpy, pandas, scipy, matplotlib

Handout for the tutorial "Creating publication-quality figures with matplotlib"

A converter that takes a matplotlib figure and spits out a TikZ/PGFplots figure for smooth integration into LaTeX.

Interview questions

Source code and datasets of "CANE: Context-Aware Network Embedding for Relation Modeling"

中文 Python 笔记

TensorLayer: Reinforcement Learning and Deep Learning Library for Researcher and Engineer.