aangelopoulos Goto Github PK
Name: Anastasios Angelopoulos
Type: User
Company: University of California, Berkeley
Bio: Ph.D. student at UC Berkeley AI Research.
Twitter: ml_angelopoulos
Location: Berkeley, California
Blog: angelopoulos.ai
Name: Anastasios Angelopoulos
Type: User
Company: University of California, Berkeley
Bio: Ph.D. student at UC Berkeley AI Research.
Twitter: ml_angelopoulos
Location: Berkeley, California
Blog: angelopoulos.ai
Enhanced Depth Navigation Through Augmented Reality Depth Mapping in Patients with Low Vision: Supplementary Data Files
Implementation of https://arxiv.org/abs/2003.08592
Lightweight, useful implementation of conformal prediction on real data.
Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.
Conformal prediction for time-series applications.
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
Dataset release for Event-Based, Near-Eye Gaze Tracking Beyond 10,000 Hz
Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.
Official implementation of Linear Revolution-Invariant modeling and deblurring from https://arxiv.org/abs/2206.08928
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
A statistical toolkit for scientific discovery using machine learning
Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.
Modified divorced PID controller applied to car cruise control and accompanying physics simulation and visualizations
Quadcopter dynamics simulation with two proportional–integral–derivative (PID) controllers that adjust the motor speeds of the quadcopter and enable control of position and orientation.
Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"
🦄 An open source interface for the Uniswap protocol
VirtuaPlant is a Industrial Control Systems simulator which adds a “similar to real-world control logic” to the basic “read/write tags” feature of most PLC simulators.
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.