thvasilo Goto Github PK
Name: Theodore Vasiloudis
Type: User
Company: @awslabs
Bio: Applied Scientist in Amazon Search AI.
Twitter: thvasilo
Location: Seattle, WA
Blog: tvas.me
Name: Theodore Vasiloudis
Type: User
Company: @awslabs
Bio: Applied Scientist in Amazon Search AI.
Twitter: thvasilo
Location: Seattle, WA
Blog: tvas.me
AdaQS: Adaptive QuickScorer for Sparse Data and Regression Trees with Default Directions
The open source version of the Amazon SageMaker docs
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
AutoGluon: AutoML Toolkit for Deep Learning
The Python programming language
Implementation of mini-batch Stochastic Gradient Descent (SGD) in CUDA using Thrust and cuBLAS
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A common bricks library for building scalable and portable distributed machine learning.
A collection of dotfiles I tend to use
Mirror of Apache Flink
A flink project template using Scala and SBT
Flink training material
Mirror of Apache Flink Website
A copy of the codebase provided by Salvador García and Francisco Herrera for their JMLR paper "An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons"
Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
Hummingbird compiles trained ML models into tensor computation for faster inference.
Mirror of Apache Samoa (Incubating)
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
Code for Mondrian Forests (for classification and regression)
An interactive book on deep learning, in concept and in MXNet
A new version of phraug, which is a set of simple Python scripts for pre-processing large files
A lightweight parameter server interface
Python code for "Machine learning: a probabilistic perspective"
Reliable Allreduce and Broadcast Interface for distributed machine learning
The SageMaker Spark Container is a Docker image used to run data processing workloads with the Spark framework on Amazon SageMaker.
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.