seedatnabeel

ML PhD student @ University of Cambridge

Pinned Repositories

CLLM
Curated LLM (ICML 2024)
Language:Jupyter Notebook6 1 01
Data-IQ
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data (NeurIPS 2022)
Language:Jupyter Notebook14 2 15
Data-SUITE
Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)
Language:Jupyter Notebook9 2 04
DIPS
You can’t handle the (dirty) truth: Data-centric insights improve pseudo-labeling
Language:Jupyter Notebook6 1 01
H-CAT
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI (ICLR 2024)
Language:Python3 1 02
Inverted-Pendulum-Control
Variety of controller designs for a single and double inverted pendulum on a cart
Language:Matlab2 2 00
SSCP
SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)
Language:Jupyter Notebook16 2 02
TE-CDE
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
Language:Python25 2 08
TRIAGE
TRIAGE: Characterizing and auditing training data for improved regression (NeurIPS 2023)
Language:Jupyter Notebook8 1 03
Uncertainty-Decision-Support-Healthcare
MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts (KDD 2020, ICML UDL 2020)
Language:Jupyter Notebook4 3 22

seedatnabeel's Repositories

seedatnabeel/TE-CDE
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
Language:Python25 2 08
seedatnabeel/SSCP
SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)
Language:Jupyter Notebook16 2 02
seedatnabeel/Data-IQ
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data (NeurIPS 2022)
Language:Jupyter Notebook14 2 15
seedatnabeel/Data-SUITE
Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)
Language:Jupyter Notebook9 2 04
seedatnabeel/TRIAGE
TRIAGE: Characterizing and auditing training data for improved regression (NeurIPS 2023)
Language:Jupyter Notebook8 1 03
seedatnabeel/CLLM
Curated LLM (ICML 2024)
Language:Jupyter Notebook6 1 01
seedatnabeel/DIPS
You can’t handle the (dirty) truth: Data-centric insights improve pseudo-labeling
Language:Jupyter Notebook6 1 01
seedatnabeel/Uncertainty-Decision-Support-Healthcare
MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts (KDD 2020, ICML UDL 2020)
Language:Jupyter Notebook4 3 22
seedatnabeel/H-CAT
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI (ICLR 2024)
Language:Python3 1 02
seedatnabeel/Inverted-Pendulum-Control
Variety of controller designs for a single and double inverted pendulum on a cart
Language:Matlab2 2 00
seedatnabeel/Pygotham2019_GANS
Tutorial on Generative Adversarial Networks (GAN) at Pygotham NYC 2019
Language:Jupyter Notebook2 2 00
seedatnabeel/3S-Testing
Language:Jupyter Notebook1 1 01
seedatnabeel/covid_19_chatbot
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.
Language:Python1 2 00
seedatnabeel/Data-Imputation-Uncertainty
Implementation of work on uncertainty for data imputation
Language:Python1 2 00
seedatnabeel/CATENets
Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
Language:Python0 1 00
seedatnabeel/Datasets
0 2 00
seedatnabeel/Dig-Dug-C-Game
A clone of the Dig Dug Arcade Game using C++ & SFML
Language:HTML2 0
seedatnabeel/fisiquimicamente
FisiQuímicamente / PhysiChemically / FisiQuímicament
Language:HTML1 0
seedatnabeel/hugo-resource-images
Example Project to show how to access page image resources from another location in Hugo
Language:HTML1 0
seedatnabeel/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Language:JavaScript1 0
seedatnabeel/OTC
Repository for GSL 2016
Language:Python4 0
seedatnabeel/OTC-Deploy
Language:Python2 0
seedatnabeel/OTC-Repo
3 0
seedatnabeel/seedatnabeel.github.io
Language:CSS1 0
seedatnabeel/Simplex
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'.
Language:Python1 0
seedatnabeel/synthcity
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
Language:Python0 0
seedatnabeel/UQ360
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
Language:Python1 0
seedatnabeel/wowchemy-hugo-themes
🔥 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
Language:SCSS1 0