karlhigley Goto Github PK
Name: Karl Higley
Type: User
Bio: I build recommender systems. I'm into ML, cross-functional teams, and iterative software development.
Twitter: karlhigley
Location: New York, NY
Name: Karl Higley
Type: User
Bio: I build recommender systems. I'm into ML, cross-functional teams, and iterative software development.
Twitter: karlhigley
Location: New York, NY
A Ruby library for transforming nested hashes
Android app using PySyft protocol
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
An implementation of Harald Steck's Calibrated Recommendations approach to re-ranking
OS-agnostic, system-level binary package manager and ecosystem
Core Utilities for NVIDIA Merlin
Approximate Nearest Neighbors in Spark
The 3rd edition of course.fast.ai
Data pipeline for a searchable catalog of open data
The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Milvus web documents and contents
Falcon is a Python web API framework for building reliable, high-performance REST APIs, microservices, and app backends.
Feature Store for Machine Learning
Topic Modelling for Humans
A web app for organizing a hack session with collaboration and coaching
:beer: The missing package manager for OS X.
An ETL pipeline to augment the Movielens dataset and ingest it into Janusgraph
Deep Learning for humans
Nearest neighbor search with integrated filtering
A Spark-based LexRank extractive summarizer for text documents
An open source vector database powered by Faiss, NMSLIB and Annoy
Merlin Models is a collection of deep learning recommender system model reference implementations
Collection of data science and machine learning projects for Magic: the Gathering
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
Example code for practicalrecs.com blog posts
The configuration framework for Zsh
A template for Python packages with poetry, pytest, Black, flake8, pylint, and pre-commit hooks
A Peer-to-peer Platform for Secure, Privacy-preserving, Decentralized Data Science
A library for encrypted, privacy preserving deep learning
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.