google-research/fixmatch

Health v2 · maintenance only

Flags: archived

Adoption not part of the score

1223 stars · 190 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official research code for FixMatch, a semi-supervised learning method that combines consistency regularization with confidence-based pseudo-labeling to train image classifiers with very few labeled examples. It includes dataset preparation scripts and training pipelines for CIFAR, SVHN, STL-10, and ImageNet experiments.

Use cases

• train an image classifier with only a handful of labeled examples
• reproduce the FixMatch paper results
• run semi-supervised learning experiments on CIFAR-10 or SVHN
• compare SSL methods under low-label regimes
• adapt consistency-based pseudo-labeling to a new dataset

When to choose

• you need state-of-the-art semi-supervised image classification with limited labels
• you want the reference implementation of the FixMatch algorithm
• you are doing SSL research and need a solid baseline

When to avoid

• you need a production-ready or maintained ML library
• you work outside image classification
• you want a simple high-level API rather than research scripts

Facets

library · maturity maintenance

machine-learning deep-learning llm-training machine-learning deep-learning python semi-supervised-learning research-code tensorflow paper-reproduction image-classification research gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google-research/fixmatch")