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Name: Vladimir Nikiforov
Type: User
Bio: Explorer
Location: Russia
Name: Vladimir Nikiforov
Type: User
Bio: Explorer
Location: Russia
Train imagenet neuralnet with TensorFlow and Docker
A curated list of awesome machine learning interpretability resources.
Interactive Web Plotting with Bokeh in IPython notebook
User session classification in Python
Essential Cheat Sheets for deep learning and machine learning researchers
The Clustergrammer interactive Jupyter notebook widget
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Official content for Harvard CS109
The 3rd edition of course.fast.ai
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
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.
Курс по анализу и управлению данными
My solutions for the Udemy course - Udemy Course - Data Science A-Z™: Real-Life Data Science.
Repository for data science course Spring 14
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
This repository accompanies the book "Deep Learning for Vision Systems".
Deploying CNN using Kubeflow on Azure Kubernetes Service
ETL with Python - Taught at DWH course 2017 (TAU)
Tutorials for Fall 2018
Faster R-CNN for Open Images Dataset by Keras
Guess the number of file in directory!
Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)
hackNY Bayesian Network Demo
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Mirror of Apache Singa (Incubating)
Practical techniques for interpreting machine learning models.
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.