gadithyaraju21 Goto Github PK
Name: Adithya
Type: User
Bio: A medical engineering student interested to work on topics that lie at the intersection between AI and Healthcare!
Name: Adithya
Type: User
Bio: A medical engineering student interested to work on topics that lie at the intersection between AI and Healthcare!
An android application developed based on Bluegraph to plot the ECG and display the heartrate of the patient
Pytorch library for model calibration metrics and visualizations as well as recalibration methods. In progress!
Code release for ConvNeXt model
This repository contains the code and link to weights for trained models
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Publication-ready NN-architecture schematics.
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
Latex code for making neural networks diagrams
📄 CLI that generates beautiful README.md files
Reliability diagrams visualize whether a classifier model needs calibration
Train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.
A playbook for systematically maximizing the performance of deep learning models.
Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).
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.