TorchSSL/TorchSSL

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1372 stars · 185 forks observed · 2026-08-28

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

TorchSSL is a PyTorch-based toolbox for semi-supervised learning that implements popular SSL algorithms like FixMatch, FlexMatch, MixMatch, and MeanTeacher for fair benchmarking. It is the official implementation of FlexMatch (NeurIPS 2021) but is now deprecated in favor of Microsoft's USB.

Use cases

• reproduce semi-supervised learning benchmarks on CIFAR and SVHN
• compare SSL algorithms like FixMatch and FlexMatch under one codebase
• implement curriculum pseudo labeling for pseudo-label and UDA methods
• study FlexMatch source code from the NeurIPS 2021 paper
• train semi-supervised image classification models with limited labels

When to choose

• you specifically need the original FlexMatch or TorchSSL reference implementation
• you want to replicate the NeurIPS 2021 benchmark results exactly

When to avoid

• you are starting a new SSL project - use the successor USB instead
• you need maintained code with bug fixes or updated results
• you need SSL beyond computer vision, such as NLP or audio

Facets

library · maturity abandoned

machine-learning deep-learning machine-learning computer-vision deep-learning python semi-supervised-learning pytorch self-supervised-learning benchmark research-toolkit deprecated gpu

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markdown · JSON · MCP: product_card(name="TorchSSL/TorchSSL")