txkitty Goto Github PK
Type: User
Bio: Eager to learn from industry experts
Location: Houston, TX
Type: User
Bio: Eager to learn from industry experts
Location: Houston, TX
Machine learning contest - October 2016 TLE
2 day short course.
some python notebooks for fun
Automated Machine Learning with scikit-learn
[UNMAINTAINED] Automated machine learning for analytics & production
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
Basic Well Log Interpretation with python, pandas, matplotlib
Getting Started with Data Science and AI in 2017
This repo outlines a method for differentiating between anomalies and expected outliers using the Microsoft Anomaly Detection API and Binary Classification to assist with Time Series Filtering.
The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (accepted for publication in the SEG Interpretation Journal, May 2019).
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Data science practice project from "Hands-On Machine Learning with SciKit-Learn and TensorFlow"
Ensemble Learning to Classify Lithofacies in Carbonate Reservoirs
Step-by-step basic lithofacies classification using sci-kit learn.
This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
Mapping Houston Real Estate Price Data with Python and Basemap
Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018
Oil & Natural Gas prie prediction using ARIMA & Neural Networks
A python package with useful functions for well log interpretation.
Using pandas for Better (and Worse) Data Science
Data Science Best Practices with pandas
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
All Algorithms implemented in Python
Workshop: Intro to Python for Data Analysis
A collection of Python demos for geostatistical methods.
Jupyter notebooks from the scikit-learn video series
We trained Deep Learning (GAN) model to automate unconformity detection with seismic data
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.