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Name: Hayley Song
Type: User
Company: MIT, USC
Bio: I study geometric structures of complex systems (eg. ML algorithms, visual generative models, traffic patterns) #CV #ML #Geometry
Location: California
Name: Hayley Song
Type: User
Company: MIT, USC
Bio: I study geometric structures of complex systems (eg. ML algorithms, visual generative models, traffic patterns) #CV #ML #Geometry
Location: California
Data directory for the CS109 Data Science course
Content for my AGU 2017 presentations.
Documentation and samples for ArcGIS API for Python
The official PyTorch implementation for ICCV'21 Oral paper 'Artificial GAN Fingerprints: Rooting Deepfake Attribution in Training Data'
A little Python script to collect LaTeX sources for upload to the arXiv.
Website for sharing ascii arts
Templates for PhD students at ASL (research plan etc.)
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
Bayesian Methods for Machine Learning
My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)
Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.
A course on causal machine learning.
It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.
Personal blog
Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.
computer vision tutorial guide courses books codes slides resources
Official content for Harvard CS109
Neural Networks for Machine Learning (University of Toronto)
course.fast.ai 2022 part 2
honor programming assignment
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
The programming assignments of Probabilistic Graphical Models by Daphne Koller on Coursera
Notes and Assignment solutions for Stanford CS229
🦍 Stanford CS236 : Deep Generative Models
Coding challenge to create a Processing sketch a day
A collection of tools to collect and download various data.
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.