USB: A Unified Semi-supervised Learning Benchmark

microsoft/semi-supervised-learning 12 Aug 2022

Semi-supervised learning (SSL) improves model generalization by leveraging massive unlabeled data to augment limited labeled samples.

0.77 stars / hour


towhee-io/towhee 22 Oct 2020

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Audio Fingerprint Contrastive Learning +1

0.71 stars / hour

Diffusion Models: A Comprehensive Survey of Methods and Applications

YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy 2 Sep 2022

Diffusion models are a class of deep generative models that have shown impressive results on various tasks with a solid theoretical foundation.

Image Super-Resolution Text-to-Image Generation

0.65 stars / hour

High-Resolution Image Synthesis with Latent Diffusion Models

compvis/stable-diffusion CVPR 2022

By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond.

Denoising Image Inpainting +3

0.59 stars / hour

Efficient Few-Shot Learning Without Prompts

huggingface/setfit 22 Sep 2022

This simple framework requires no prompts or verbalizers, and achieves high accuracy with orders of magnitude less parameters than existing techniques.

Few-Shot Learning

0.57 stars / hour

HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification

huoxiangzuo/HiFuse 21 Sep 2022

A parallel hierarchy of local and global feature blocks is designed to efficiently extract local features and global representations at various semantic scales, with the flexibility to model at different scales and linear computational complexity relevant to image size.

Image Classification Inductive Bias +1

0.53 stars / hour

Neural Architectures for Named Entity Recognition

PKU-TANGENT/nlp-tutorial NAACL 2016

State-of-the-art named entity recognition systems rely heavily on hand-crafted features and domain-specific knowledge in order to learn effectively from the small, supervised training corpora that are available.

named-entity-recognition NER

0.50 stars / hour

ADBench: Anomaly Detection Benchmark

minqi824/adbench 19 Jun 2022

Given a long list of anomaly detection algorithms developed in the last few decades, how do they perform with regard to (i) varying levels of supervision, (ii) different types of anomalies, and (iii) noisy and corrupted data?

Anomaly Detection Outlier Detection

0.41 stars / hour
0.38 stars / hour