google-research/simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2367
- days_rel: n/a
- days_push: 1199
- n_releases_24m: 0
Adoption not part of the score
4502 stars · 664 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Google Research's official implementation of SimCLR and SimCLRv2, a framework for contrastive learning of visual representations, with 65 pretrained ResNet checkpoints in TensorFlow. It supports unsupervised pretraining, semi-supervised fine-tuning on few labels, and distillation into smaller models.
Use cases
- pretrain image models with self-supervised contrastive learning
- fine-tune pretrained vision models with few labeled examples
- download SimCLRv2 pretrained ResNet checkpoints
- distill a large vision model into a smaller one
- learn how contrastive learning works from reference code
When to choose
- you want proven SimCLRv2 pretrained checkpoints in TensorFlow
- you have lots of unlabeled images and few labels
- you need a research-grade reference implementation of contrastive learning
When to avoid
- you need PyTorch rather than TensorFlow
- you want an actively developed library with new features
- you need a general-purpose training framework rather than a research codebase
Facets
library · maturity maintenance
machine-learning deep-learning image-processing computer-vision machine-learning deep-learning python self-supervised-learning contrastive-learning representation-learning pretrained-models tensorflow research-code gpu
6 sources
- readme: https://github.com/google-research/simclr · fetched 2026-08-28 · 1b141e96691d
- homepage: https://arxiv.org/abs/2006.10029 · fetched 2026-08-29 · 9ef6722ab397
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| google-research/simclr | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="google-research/simclr")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem