{"adoption": {"forks": 378, "observed_at": "2026-08-28T04:03:22.731841+00:00", "stars": 1049}, "canonical_url": "https://ross.abutalabs.com/products/yangxudong-deeplearning", "card": {"archived": false, "artifact_type": "library", "description": "深度学习相关的模型训练、评估和预测相关代码", "domain": ["deep-learning", "machine-learning"], "enriched": true, "function": ["deep-learning", "machine-learning", "llm-training"], "health_score": 20, "homepage": null, "language": "Python", "license": null, "license_family": "other", "maturity": "maintenance", "member_repos": ["yangxudong/deeplearning"], "name": "yangxudong/deeplearning", "platform": ["python"], "pushed_at": "2021-07-26T06:01:32+00:00", "repo": "yangxudong/deeplearning", "stars": 1049, "tags": ["tensorflow", "ctr-prediction", "estimator", "recommendation-systems", "model-training", "recommendation"], "topics": [], "urls": [], "use_cases": ["train deep learning models with tensorflow estimator", "implement CTR prediction models like ESMM", "build distributed deep learning training pipelines", "learn tensorflow dataset api input pipelines", "text classification with CNN in tensorflow", "feature engineering with tensorflow feature columns"], "what_it_is": "A collection of deep learning model training, evaluation, and prediction code implemented with TensorFlow's high-level Estimator API, with a focus on CTR prediction models. It emphasizes readability and generality and includes documentation for several model subdirectories.", "when_to_avoid": ["you use TensorFlow 2.x or PyTorch exclusively", "you need a maintained production library with a license and active releases", "you need modern deep learning tooling outside CTR prediction"], "when_to_choose": ["you work with TensorFlow 1.x Estimator API and want readable reference implementations", "you need CTR/recommendation model examples such as ESMM", "you want to learn distributed training patterns with high-level TensorFlow APIs"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/yangxudong-deeplearning", "repo": "yangxudong/deeplearning", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:22.731841+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T07:00:34.050104+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09c1a489ee8c860a124e7ea4d673436b55cca147e32d25ebc59bc6fed95fb747", "fetched_at": "2026-08-28T04:03:22.731841+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yangxudong/deeplearning"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:22.731841+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T07:00:34.050104+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09c1a489ee8c860a124e7ea4d673436b55cca147e32d25ebc59bc6fed95fb747", "fetched_at": "2026-08-28T04:03:22.731841+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yangxudong/deeplearning"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T07:00:34.050104+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09c1a489ee8c860a124e7ea4d673436b55cca147e32d25ebc59bc6fed95fb747", "fetched_at": "2026-08-28T04:03:22.731841+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yangxudong/deeplearning"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:22.731841+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:22.731841+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:22.731841+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T07:00:34.050104+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09c1a489ee8c860a124e7ea4d673436b55cca147e32d25ebc59bc6fed95fb747", "fetched_at": "2026-08-28T04:03:22.731841+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yangxudong/deeplearning"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:22.731841+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:22.731841+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T07:00:34.050104+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09c1a489ee8c860a124e7ea4d673436b55cca147e32d25ebc59bc6fed95fb747", "fetched_at": "2026-08-28T04:03:22.731841+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yangxudong/deeplearning"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:22.731841+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:22.731841+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:22.731841+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T07:00:34.050104+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09c1a489ee8c860a124e7ea4d673436b55cca147e32d25ebc59bc6fed95fb747", "fetched_at": "2026-08-28T04:03:22.731841+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yangxudong/deeplearning"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:22.731841+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:22.731841+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T07:00:34.050104+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09c1a489ee8c860a124e7ea4d673436b55cca147e32d25ebc59bc6fed95fb747", "fetched_at": "2026-08-28T04:03:22.731841+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yangxudong/deeplearning"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T07:00:34.050104+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09c1a489ee8c860a124e7ea4d673436b55cca147e32d25ebc59bc6fed95fb747", "fetched_at": "2026-08-28T04:03:22.731841+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yangxudong/deeplearning"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T07:00:34.050104+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09c1a489ee8c860a124e7ea4d673436b55cca147e32d25ebc59bc6fed95fb747", "fetched_at": "2026-08-28T04:03:22.731841+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yangxudong/deeplearning"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T07:00:34.050104+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09c1a489ee8c860a124e7ea4d673436b55cca147e32d25ebc59bc6fed95fb747", "fetched_at": "2026-08-28T04:03:22.731841+00:00", "kind": "readme", "missing": false, "url": "https://github.com/yangxudong/deeplearning"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2963, "days_push": 1864, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}