Taking causal inference to the extreme!

Automated Machine Learning with scikit-learn

Meta-Learning for Monitoring in Code Summarization Systems

This is a chatbot that I build using ChatGPT.

The Optimal Ordered Problem Solver

[NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning

autoEnsemble : An AutoML Algorithm for Building Homogeneous and Heterogeneous Stacked Ensemble Models by Searching for Diverse Base-Learners

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"

Personalizing Dialogue Agents via Meta-Learning

Python Meta-Feature Extractor package.

Will be implementing and detailing emerging Neural network models such as GNN, Meta-Learning and Memory Augmented models that are still being actively researched and developed to overcome the traditional limitations of Deep learning

A PyTorch Library for Meta-learning Research

This code is for the honour thesis developed by Dannong Xu. It includes CTNet (developed algorithm in the thesis), Siamese Network, MAML, and Reptile.

Generalizing to New Physical Systems via Context-Informed Dynamics Model

A project implementing better evaluation scenarios for community models for malicious content detection, and meta-learning GNNs to achieve better downstream adaptation.

Code for the paper "Benchmarking AutoML solutions for Clusering"

Skin lesion image analysis that draws on meta-learning to improve performance in the low data and imbalanced data regimes.

Image classification with very few data sample (n=25 per class)