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Name: Nabeel Seedat
Type: User
Bio: ML PhD student @ University of Cambridge
Name: Nabeel Seedat
Type: User
Bio: ML PhD student @ University of Cambridge
Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
Curated LLM (ICML 2024)
Covid-19 Chatbot is a multi-lingual WhatsApp chatbot to answer FAQs about Covid-19 as per the WHO. It also has computer vision capabilities allowing a WhatsApp client to send a picture of a mask and the chatbot will classify the mask as either a N95, surgical or cloth mask.
Implementation of work on uncertainty for data imputation
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data (NeurIPS 2022)
Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)
A clone of the Dig Dug Arcade Game using C++ & SFML
You can’t handle the (dirty) truth: Data-centric insights improve pseudo-labeling
FisiQuímicamente / PhysiChemically / FisiQuímicament
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI (ICLR 2024)
Example Project to show how to access page image resources from another location in Hugo
Variety of controller designs for a single and double inverted pendulum on a cart
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Repository for GSL 2016
Tutorial on Generative Adversarial Networks (GAN) at Pygotham NYC 2019
This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help of a corpus of examples. For more details, please read our NeurIPS 2021 paper: 'Explaining Latent Representations with a Corpus of Examples'.
SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
TRIAGE: Characterizing and auditing training data for improved regression (NeurIPS 2023)
MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts (KDD 2020, ICML UDL 2020)
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
🔥 Hugo website builder, Hugo themes & Hugo CMS. No code, easily build with blocks! 创建在线课程,学术简历或初创网站。#OpenScience
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.