Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Fit interpretable models. Explain blackbox machine learning.

[CVPR'20] Implementation for the paper "ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation"

This repo includes ChatGPT prompt curation to use ChatGPT better.

A playbook for systematically maximizing the performance of deep learning models.

Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"

Neural Architecture Search for Gliomas Segmentation on Multimodal Magnetic Resonance Imaging

[MIDL22] Adaptive depth and width U-Net. Search task-specific optimal depth and width of U-Net by DNAS method.

An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.

CIFAR-10 raw images

Paper lists of neural architecture search (NAS)

Neural Networks: Zero to Hero

Train from scratch for architectures from DARTS space

Differentiable architecture search for convolutional and recurrent networks

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

BioAutoML: Automated Feature Engineering and Metalearning

Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.

On Network Design Spaces for Visual Recognition

Codebase for Image Classification Research, written in PyTorch.

Scripts for Imagenet 32 dataset

Pytorch Lightning code guideline for conferences

PyTorch deep learning projects made easy.

A best practice for tensorflow project template architecture.

README.md template for your open-source project

An awesome README template to jumpstart your projects!

Template for a data science project

Feature Extraction Package for Biological Sequences

Codes for paper "KNAS: Green Neural Architecture Search"