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Name: Bootcamp_analytics
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Superior, precise, scalable NLU for creating natural language interfaces.
Created for toolchain: https://console.ng.bluemix.net/devops/toolchains/ed26b5bf-2781-4a70-a3f2-b29d9b2dca36
Process Common Crawl data with Python and Spark
Causal Effect Inference with Deep Latent-Variable Models
Essential Cheat Sheets for deep learning and machine learning researchers
A plugin for d3.js that allows you to easy use context-menus in your visualizations.
Implementation of the Differentiable Neural Computer in Tensorflow
Docker container images for JanusGraph.
Factor Analysis Kit
Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)
Interactive visualization of the Gremlin graph database with D3.js
Gremlin for the Python Language
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
Keras library for building (Universal) Transformers, facilitating BERT and GPT models
VGGFace implementation with Keras Framework
Save keras weight matrices as short animated videos during training
As a believer of learning through examples, I have decided to put my own examples of Gremlin queries inside Jupyter Notebooks for people to actually try out. The course is roughly based on this book (http://kelvinlawrence.net/book/Gremlin-Graph-Guide.pdf) by krlawrence but adapted into Python for execution inside a Jupyter Notebook.
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
Scalable Prediction Services with R
Answers to exercises, questions and other artifacts from the bootcamp participants
Calculate predictive causality between time series using information-theoretic techniques
A basic python wrapper for Natty natural language date parser
Deep Q-learning driven stock trader bot
Reinforcement Learning for Portfolio Management
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.