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Name: Andrey
Type: User
Bio: Head of ML, PhD
Name: Andrey
Type: User
Bio: Head of ML, PhD
Answers to 120 commonly asked data science interview questions.
Machine learning contest - October 2016 TLE
A Little Book of Python for Multivariate Analysis
Python package for performing the Alternating Conditional Expectation (ACE) regression
A Python toolkit for rule-based/unsupervised anomaly detection in time series
This is the code for "Watch Me Build an AI Startup" By Siraj Raval on Youtube
Documentation and samples for ArcGIS API for Python
:chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.
Predicting oil production from horizontal wells using Bayesian hierarchical linear-regression
Andrey's blog
This is the code for 'Build an AI Startup with Pytorch" by Siraj Raval
:shrimp: Electromagnetic Simulation + Automatic Differentiation
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Essential Cheat Sheets for deep learning and machine learning researchers
Model to check if image was rotated by 90, 180, 270 degrees.
Python code that scrapes well log data from the COGCC
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Python library for building highly effective data science workflows
Dash Demo App - New York Oil and Gas
Interactive phylogeny trees with Dash
New York City Uber Rides 2014:
Live App:
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A few notebooks about deep learning in pytorch
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
A community run, 5-day PyTorch Deep Learning Bootcamp
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
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.