Popular GitHub Repositories for Discriminative

:couple: Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) :couple:

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

Datasets collection and preprocessings framework for NLP extreme multitask learning

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

Learning Deep Features for Discriminative Localization (2016)

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings

Hybrid Discriminative-Generative Training via Contrastive Learning

Pytorch implementation of Highly Parallel Autoregressive Entity Linking with Discriminative Correction

An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault diagnosis

Source code for "Towards a Deeper Understanding of Adversarial Losses under a Discriminative Adversarial Network Setting"

Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition

Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano

An ECG Foundation Model: Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners (ICML 2025)

Anomaly Detection Discriminative GAN (ADD-GAN)

Code & experiments for MINDWALC: Mining Interpretable, Discriminative Walks for Classification of Nodes in a Graph

Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)

A work to improve CLIP's visual detail capturing ability by inverting the unCLIP generative model.