{"adoption": {"forks": 404, "observed_at": "2026-08-28T04:06:34.048102+00:00", "stars": 2285}, "canonical_url": "https://ross.abutalabs.com/products/deepinterests", "card": {"archived": false, "artifact_type": "learning-resource", "description": "深度有趣", "domain": ["deep-learning", "machine-learning", "computer-vision", "tutorials", "artificial-intelligence"], "enriched": true, "function": ["machine-learning", "deep-learning", "computer-vision", "nlp", "speech-recognition", "image-processing"], "health_score": 20, "homepage": null, "language": null, "license": null, "license_family": "other", "maturity": "maintenance", "member_repos": ["Honlan/DeepInterests"], "name": "Honlan/DeepInterests", "platform": ["python", "cross-platform"], "pushed_at": "2020-08-20T08:34:51+00:00", "repo": "Honlan/DeepInterests", "stars": 2285, "tags": ["tensorflow", "keras", "gan", "autoencoder", "chinese", "course-projects", "reinforcement-learning", "seq2seq", "natural-language-processing"], "topics": ["mit-license", "python", "deep-learning", "computer-vision", "natural-language-processing", "artificial-intelligence", "tensorflow", "keras"], "urls": [], "use_cases": ["learn deep learning through practical projects", "implement GANs for face and anime avatar generation", "practice image style transfer with TensorFlow", "build seq2seq machine translation models", "train word embeddings and compute sentence similarity", "get started with object detection and speech recognition", "learn DQN reinforcement learning with FlappyBird"], "what_it_is": "DeepInterests is a Chinese-language collection of hands-on deep learning projects built with Python3, TensorFlow 1.9, and Keras 2.2, accompanied by a 182-page course document and optional paid video lessons. It covers roughly 30 projects spanning GANs, autoencoders, image classification and style transfer, object detection, word vectors, machine translation, speech recognition, and DQN reinforcement learning.", "when_to_avoid": ["you need a production-ready library or maintained tool rather than educational code", "you require up-to-date TensorFlow 2.x or PyTorch examples", "you need English-language materials or active community support"], "when_to_choose": ["you want a broad, project-based introduction to deep learning with TensorFlow and Keras", "you prefer Chinese-language tutorials with accompanying documentation and code", "you want to sample many classic DL techniques (GANs, VAE, seq2seq, DQN) in one collection"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/deepinterests", "repo": "Honlan/DeepInterests", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:06:34.048102+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:41:03.791886+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d4d442419e01351bda80832826c59d2f8d6de7bafec008a6b0b92e3208c73c09", "fetched_at": "2026-08-28T04:06:34.048102+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Honlan/DeepInterests"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:06:34.048102+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:41:03.791886+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d4d442419e01351bda80832826c59d2f8d6de7bafec008a6b0b92e3208c73c09", "fetched_at": "2026-08-28T04:06:34.048102+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Honlan/DeepInterests"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:41:03.791886+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d4d442419e01351bda80832826c59d2f8d6de7bafec008a6b0b92e3208c73c09", "fetched_at": "2026-08-28T04:06:34.048102+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Honlan/DeepInterests"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:06:34.048102+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:06:34.048102+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:06:34.048102+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:41:03.791886+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d4d442419e01351bda80832826c59d2f8d6de7bafec008a6b0b92e3208c73c09", "fetched_at": "2026-08-28T04:06:34.048102+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Honlan/DeepInterests"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:06:34.048102+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:06:34.048102+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:41:03.791886+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d4d442419e01351bda80832826c59d2f8d6de7bafec008a6b0b92e3208c73c09", "fetched_at": "2026-08-28T04:06:34.048102+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Honlan/DeepInterests"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:06:34.048102+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:06:34.048102+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:06:34.048102+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:41:03.791886+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d4d442419e01351bda80832826c59d2f8d6de7bafec008a6b0b92e3208c73c09", "fetched_at": "2026-08-28T04:06:34.048102+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Honlan/DeepInterests"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:06:34.048102+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:06:34.048102+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:41:03.791886+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d4d442419e01351bda80832826c59d2f8d6de7bafec008a6b0b92e3208c73c09", "fetched_at": "2026-08-28T04:06:34.048102+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Honlan/DeepInterests"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:41:03.791886+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d4d442419e01351bda80832826c59d2f8d6de7bafec008a6b0b92e3208c73c09", "fetched_at": "2026-08-28T04:06:34.048102+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Honlan/DeepInterests"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:41:03.791886+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d4d442419e01351bda80832826c59d2f8d6de7bafec008a6b0b92e3208c73c09", "fetched_at": "2026-08-28T04:06:34.048102+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Honlan/DeepInterests"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:41:03.791886+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d4d442419e01351bda80832826c59d2f8d6de7bafec008a6b0b92e3208c73c09", "fetched_at": "2026-08-28T04:06:34.048102+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Honlan/DeepInterests"}], "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": 3089, "days_push": 2204, "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}}