Letterboxd Recommendations
sdl60660
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
OPENAGENTSKILL / DIRECTORY
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Results: 30
sdl60660
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
zegl
Kubernetes object analysis with recommendations for improved reliability and security. kube-score actively prevents downtime and bugs in your Kubernetes YAML and Charts.…
devflowinc
All-in-one platform for search, recommendations, RAG, and analytics offered via API
stackrox
The StackRox Kubernetes Security Platform performs a risk analysis of the container environment, delivers visibility and runtime alerts, and provides recommendations to…
anthropics
After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails,…
metarank
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank en…
CherryHQ
Analyze a codebase and recommend Claude Code automations (hooks, subagents, skills, plugins, MCP servers). Use when user asks for automation recommendations, wants to op…
eugeneyan
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
github
Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing…
kubeshop
An app that helps you monitor your Kubernetes cluster, debug critical deployments & gives recommendations for standard practices
codingo
A security tool for multithreaded information gathering and service enumeration whilst building directory structures to store results, along with writing out recommendat…
Netflix-Skunkworks
Personalized, user-focused recommendations for employee information security.
karpathy
arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.
phuryn
Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experimen…
DWCTOD
收集 CVPR 最新的成果,包括论文、代码和demo视频等,欢迎大家推荐!Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, et…
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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