lianglin0310's repositories

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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auto_ml

Automated machine learning for analytics & production

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Basic-Well-Log-Interpretation

Basic Well Log Interpretation with python, pandas, matplotlib

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fastcast

:ocean: Stream peer-to-peer audio and video content

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flask

The Python micro framework for building web applications.

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iGAN

Interactive Image Generation via Generative Adversarial Networks

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kubernetes-the-hard-way

Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.

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lasio

Python library for reading and writing well data using Log ASCII Standard (LAS) files

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Lattice-Boltzmann-fluid-flow-in-Tensorflow

A Lattice Boltzmann fluid flow simulation written in Tensorflow.

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MLBox

MLBox is a powerful Automated Machine Learning python library.

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models

Models and examples built with TensorFlow

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petrophysics

A Python package for Petrophysics

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PetroPy

A petrophysics with python package for scientific python computing of conventional and unconventional formation evaluation. Reads las files and creates a pandas dataframe of the log data. Includes a basic petrophysical workflow and a simple log viewer based on XML templates.

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pgmpy

Python Library for Probabilistic Graphical Models

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python-binance

Binance Exchange API python implementation for automated trading

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spwla

A Python package by SPWLA for educational purpose

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tpot

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

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webtorrent

⚡️ Streaming torrent client for the web

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wxStocks

wxStocks: Investment Analysis for Python Programmers. Write your own screens, ranking functions, and even high level analysis algorithms to help you review or create your own portfolio. Scrape basic data from Nasdaq, Yahoo Finance, Morningstar and more or import your own data by writing your own custom importers for .xls and .csv importers. wxStocks is currently functional, but will be going through a complete rewrite to integrate pandas very soon.

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