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Weizhi's Projects

openne icon openne

An Open-Source Package for Network Embedding (NE)

pandas-datareader icon pandas-datareader

Extract data from a wide range of Internet sources into a pandas DataFrame.

paraphrase-id-tensorflow icon paraphrase-id-tensorflow

Various models and code for the paraphrase identification task, specifically with the Quora Question Pairs dataset.

plotly.py icon plotly.py

An interactive, browser-based graphing library for Python :sparkles:

presto icon presto

Distributed SQL query engine for big data

probability icon probability

Probabilistic reasoning and statistical analysis in TensorFlow

protobuf icon protobuf

Protocol Buffers - Google's data interchange format

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pysparnn icon pysparnn

Approximate Nearest Neighbor Search for Sparse Data in Python!

pytube icon pytube

A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.

rane icon rane

For the paper submission, KDD, 2018: Relation-Aware Representation Learning in Information Networks

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rllab icon rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

rlseq2seq icon rlseq2seq

Deep Reinforcement Learning For Sequence to Sequence Models

rtb-papers icon rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

scanns icon scanns

A scalable nearest neighbor search library in Apache Spark

sdne icon sdne

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

sec-edgar icon sec-edgar

Download all companies periodic reports, filings and forms from EDGAR database.

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