Popular GitHub Repositories for Conformal Classifiers

A library for debugging/inspecting machine learning classifiers and explaining their predictions

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

Lightweight, useful implementation of conformal prediction on real data.

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

Python package for conformal prediction

WhiteLightning distills massive, state-of-the-art language models into lightweight, hyper-efficient text classifiers. It's a command-line tool that lets you create specialized models that run anywhere—from the cloud to the edge—using the universal ONNX format for maximum compatibility.

A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

Datasets to train supervised classifiers for Named-Entity Recognition in different languages (Portuguese, German, Dutch, French, English)

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Open source no-code system for text annotation and building of text classifiers

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract)

A UI tool for quickly training image classifiers in the browser

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

Pragmatic & Practical Bayesian Sentiment Classifier

Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

Unattended Lightweight Text Classifiers with LLM Embeddings

Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.