{"adoption": {"forks": 516, "observed_at": "2026-08-28T04:06:55.068084+00:00", "stars": 2476}, "canonical_url": "https://ross.abutalabs.com/products/algorithm_interview_notes-chinese", "card": {"archived": false, "artifact_type": "learning-resource", "description": "2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。", "domain": ["machine-learning", "deep-learning", "tutorials", "awesome-lists"], "enriched": true, "function": ["developer-tools"], "health_score": 20, "homepage": null, "language": "Python", "license": null, "license_family": "other", "maturity": "abandoned", "member_repos": ["DarLiner/Algorithm_Interview_Notes-Chinese"], "name": "DarLiner/Algorithm_Interview_Notes-Chinese", "platform": ["cross-platform"], "pushed_at": "2018-12-04T04:03:39+00:00", "repo": "DarLiner/Algorithm_Interview_Notes-Chinese", "stars": 2476, "tags": ["interview-preparation", "chinese", "notes", "algorithms", "job-hunting", "study-guide", "natural-language-processing"], "topics": [], "urls": [], "use_cases": ["prepare for machine learning engineer interviews", "review deep learning interview questions before campus recruitment", "study NLP interview topics like word embeddings", "practice algorithm questions like dynamic programming and LeetCode problems", "brush up on C++ interview fundamentals", "find Chinese-language AI job interview experience notes"], "what_it_is": "A Chinese-language collection of interview notes covering machine learning, deep learning, NLP, computer vision, algorithms, math, and programming languages (C/C++, Python), aimed at algorithm-role job candidates in China. It aggregates common interview questions from ML/DL interview experiences plus related computer science topics.", "when_to_avoid": ["you need up-to-date content, as the repository has not been updated since late 2018", "you are preparing for frontend, testing, Java, or Android roles, which are explicitly excluded", "you need English-language interview preparation materials"], "when_to_choose": ["you are preparing for algorithm/ML/DL job interviews in the Chinese tech industry", "you want a consolidated Chinese-language question bank for ML, DL, and NLP interviews", "you need structured notes on algorithms, math, and C/C++ for written tests"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/algorithm_interview_notes-chinese", "repo": "DarLiner/Algorithm_Interview_Notes-Chinese", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.068084+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:28:20.724883+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c7d2a8127f56ebfe96c91cb621ddb3f4f514950ec50273d25d0c317919de4ef7", "fetched_at": "2026-08-28T04:06:55.068084+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DarLiner/Algorithm_Interview_Notes-Chinese"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.068084+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:28:20.724883+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c7d2a8127f56ebfe96c91cb621ddb3f4f514950ec50273d25d0c317919de4ef7", "fetched_at": "2026-08-28T04:06:55.068084+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DarLiner/Algorithm_Interview_Notes-Chinese"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:28:20.724883+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c7d2a8127f56ebfe96c91cb621ddb3f4f514950ec50273d25d0c317919de4ef7", "fetched_at": "2026-08-28T04:06:55.068084+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DarLiner/Algorithm_Interview_Notes-Chinese"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.068084+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.068084+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.068084+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:28:20.724883+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c7d2a8127f56ebfe96c91cb621ddb3f4f514950ec50273d25d0c317919de4ef7", "fetched_at": "2026-08-28T04:06:55.068084+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DarLiner/Algorithm_Interview_Notes-Chinese"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.068084+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.068084+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:28:20.724883+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c7d2a8127f56ebfe96c91cb621ddb3f4f514950ec50273d25d0c317919de4ef7", "fetched_at": "2026-08-28T04:06:55.068084+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DarLiner/Algorithm_Interview_Notes-Chinese"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.068084+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.068084+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.068084+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:28:20.724883+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c7d2a8127f56ebfe96c91cb621ddb3f4f514950ec50273d25d0c317919de4ef7", "fetched_at": "2026-08-28T04:06:55.068084+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DarLiner/Algorithm_Interview_Notes-Chinese"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.068084+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.068084+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:28:20.724883+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c7d2a8127f56ebfe96c91cb621ddb3f4f514950ec50273d25d0c317919de4ef7", "fetched_at": "2026-08-28T04:06:55.068084+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DarLiner/Algorithm_Interview_Notes-Chinese"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:28:20.724883+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c7d2a8127f56ebfe96c91cb621ddb3f4f514950ec50273d25d0c317919de4ef7", "fetched_at": "2026-08-28T04:06:55.068084+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DarLiner/Algorithm_Interview_Notes-Chinese"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:28:20.724883+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c7d2a8127f56ebfe96c91cb621ddb3f4f514950ec50273d25d0c317919de4ef7", "fetched_at": "2026-08-28T04:06:55.068084+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DarLiner/Algorithm_Interview_Notes-Chinese"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:28:20.724883+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c7d2a8127f56ebfe96c91cb621ddb3f4f514950ec50273d25d0c317919de4ef7", "fetched_at": "2026-08-28T04:06:55.068084+00:00", "kind": "readme", "missing": false, "url": "https://github.com/DarLiner/Algorithm_Interview_Notes-Chinese"}], "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": 2829, "days_push": 2829, "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}}