Starred repositories
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
p5.js is a client-side JS platform that empowers artists, designers, students, and anyone to learn to code and express themselves creatively on the web. It is based on the core principles of Proces…
One-click WordPress plugin that converts all posts, pages, taxonomies, metadata, and settings to Markdown and YAML which can be dropped into Jekyll (or Hugo or any other Markdown and YAML based sit…
A high performance blog starter with Material design in mind for GatsbyJS.
RFC document, tooling and other content related to the dataframe API standard
A collection of pre-trained, state-of-the-art models in the ONNX format
Identification of plants through plant leaves on the basis of their shape, color and texture features using digital image processing techniques
AirTNG - Rental-by-owner properties fit for a Captain, implemented in Python with Flask
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
A registry of publicly available datasets on AWS
Project 2 for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Object Detection and Multi-Object Tracking
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
A complete computer science study plan to become a software engineer.
🏡 Open source home automation that puts local control and privacy first.
A collection of machine learning examples and tutorials.
The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》
Revision to the code and associated files for the AI Programming with Python Nanodegree Program
Code and associated files for the deploying ML models within AWS SageMaker
Contains files related to content and project of DSND Term 2
Repo for the Deep Learning Nanodegree Foundations program.
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
The "Python Machine Learning (3rd edition)" book code repository
⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101