{"adoption": {"forks": 192, "observed_at": "2026-08-28T04:03:42.560632+00:00", "stars": 1131}, "canonical_url": "https://ross.abutalabs.com/products/conformer", "card": {"archived": false, "artifact_type": "library", "description": "[Unofficial] PyTorch implementation of \"Conformer: Convolution-augmented Transformer for Speech Recognition\" (INTERSPEECH 2020)", "domain": ["speech-processing", "machine-learning", "deep-learning"], "enriched": true, "function": ["machine-learning", "deep-learning", "speech-recognition"], "health_score": 90, "homepage": null, "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "active", "member_repos": ["sooftware/conformer"], "name": "sooftware/conformer", "platform": ["python"], "pushed_at": "2026-06-29T16:05:01+00:00", "repo": "sooftware/conformer", "stars": 1131, "tags": ["pytorch", "conformer", "asr", "transformer", "speech-recognition", "model-implementation", "gpu"], "topics": ["conformer", "transformer", "cnn", "transformer-xl", "asr", "speech-recognition", "pytorch", "conv", "convolution", "augmented", "speech", "recognition"], "urls": [], "use_cases": ["implement conformer speech recognition model in pytorch", "build an asr encoder with convolution-augmented transformer", "use conformer blocks for audio sequence modeling", "experiment with state-of-the-art speech recognition architectures", "integrate a conformer encoder into my own speech model"], "what_it_is": "An unofficial PyTorch implementation of the Conformer architecture (convolution-augmented Transformer) from the INTERSPEECH 2020 paper, targeting speech recognition. It provides model code only; training is delegated to the openspeech project.", "when_to_avoid": ["you need a full end-to-end ASR training pipeline with datasets and checkpoints", "you want inference-ready pretrained speech recognition models", "you need non-PyTorch frameworks like TensorFlow or JAX"], "when_to_choose": ["you need the Conformer architecture in PyTorch without training infrastructure", "you want a lightweight, model-only library to plug into your own ASR pipeline", "you are reproducing or extending the INTERSPEECH 2020 Conformer paper"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/conformer", "repo": "sooftware/conformer", "role": "main", "score": 72}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:42.560632+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T06:38:04.401672+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2a2315cbe8cd47a96aaae8730ef3787a548ff146b14b7b3b0b606ec9d191940", "fetched_at": "2026-08-28T04:03:42.560632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sooftware/conformer"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:42.560632+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T06:38:04.401672+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2a2315cbe8cd47a96aaae8730ef3787a548ff146b14b7b3b0b606ec9d191940", "fetched_at": "2026-08-28T04:03:42.560632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sooftware/conformer"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T06:38:04.401672+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2a2315cbe8cd47a96aaae8730ef3787a548ff146b14b7b3b0b606ec9d191940", "fetched_at": "2026-08-28T04:03:42.560632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sooftware/conformer"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:42.560632+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:42.560632+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:42.560632+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T06:38:04.401672+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2a2315cbe8cd47a96aaae8730ef3787a548ff146b14b7b3b0b606ec9d191940", "fetched_at": "2026-08-28T04:03:42.560632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sooftware/conformer"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:42.560632+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:42.560632+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T06:38:04.401672+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2a2315cbe8cd47a96aaae8730ef3787a548ff146b14b7b3b0b606ec9d191940", "fetched_at": "2026-08-28T04:03:42.560632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sooftware/conformer"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:42.560632+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:42.560632+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:42.560632+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T06:38:04.401672+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2a2315cbe8cd47a96aaae8730ef3787a548ff146b14b7b3b0b606ec9d191940", "fetched_at": "2026-08-28T04:03:42.560632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sooftware/conformer"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:42.560632+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:42.560632+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T06:38:04.401672+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2a2315cbe8cd47a96aaae8730ef3787a548ff146b14b7b3b0b606ec9d191940", "fetched_at": "2026-08-28T04:03:42.560632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sooftware/conformer"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T06:38:04.401672+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2a2315cbe8cd47a96aaae8730ef3787a548ff146b14b7b3b0b606ec9d191940", "fetched_at": "2026-08-28T04:03:42.560632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sooftware/conformer"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T06:38:04.401672+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2a2315cbe8cd47a96aaae8730ef3787a548ff146b14b7b3b0b606ec9d191940", "fetched_at": "2026-08-28T04:03:42.560632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sooftware/conformer"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T06:38:04.401672+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a2a2315cbe8cd47a96aaae8730ef3787a548ff146b14b7b3b0b606ec9d191940", "fetched_at": "2026-08-28T04:03:42.560632+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sooftware/conformer"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 90, "longevity": 100, "rhythm": 32}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2050, "days_push": 65, "days_rel": 240, "gap_med": null, "n_releases_24m": 1}, "score": 72, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}