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Showing 12 resources for "learning"
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Active

1 trusted · 10 review · 1 limited in this set — compare to see which signals differ.

Trust snapshot

12 results in this view

Claimed
0%(0/12)

3 trust signals differ in this sample: Package trust, Source provenance, Submitter

Signals differ on Package trust, Source provenance, Submitter — add entries to compare before you install.

Rollout signal scan

2 rollout risk signals in current results

Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.

12 scanned

Install payload

Install payload is mixed and needs spot-checking.

watch

58% (7/12)

Adoption queue

Browse adoption queue · balanced

6/12 visible results are in hold tier and need mitigation before adoption.

ready 0caution 6hold 6

Hugging Face MCP Server - MCP Servers

1 blockers: Metadata review

caution

70/100

Request metadata review from maintainers or internal owners.

mcp/hugging-face-mcp-server · trust trusted · confidence 83%

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

commands/explain · trust review · confidence 67%

Anki MCP Server

1 blockers: Metadata review

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

mcp/anki-mcp-server · trust review · confidence 67%

Hugging Face Skills

1 blockers: Metadata review

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

skills/huggingface-skills · trust review · confidence 67%

Microsoft AI Agents for Beginners

1 blockers: Metadata review

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

guides/microsoft-ai-agents-for-beginners · trust review · confidence 67%

Tandem Docs MCP Server for Claude

1 blockers: Metadata review

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

mcp/ac-tandem-docs-mcp-mcp-server · trust review · confidence 67%

Full Stack AI Development Agent - Agents

1 blockers: Metadata review

hold

42/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

agents/full-stack-ai-development-agent · trust limited · confidence 67%

Axolotl

2 blockers: Metadata review, Install payload

hold

36/100

Request metadata review from maintainers or internal owners.

Add install/config payload for reproducible team rollout.

Collect package checksum or signed artifact information.

tools/axolotl · trust review · confidence 50%

Decision confidence

Decision confidence scan · balanced

5/12 results are low-confidence and need review before adoption.

high 1medium 6low 5

Anki MCP Server

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

mcp/anki-mcp-server · trust review

Hugging Face Skills

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

skills/huggingface-skills · trust review

Microsoft AI Agents for Beginners

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

guides/microsoft-ai-agents-for-beginners · trust review

Tandem Docs MCP Server for Claude

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

mcp/ac-tandem-docs-mcp-mcp-server · trust review

Full Stack AI Development Agent - Agents

Address Metadata review, Package integrity before broader rollout.

medium

48/100

Missing: Metadata reviewMissing: Package integrity

agents/full-stack-ai-development-agent · trust limited

Axolotl

Hold adoption until Metadata review, Package integrity are resolved.

low

36/100

Missing: Metadata reviewMissing: Package integrityMissing: Install payload

tools/axolotl · trust review

Freshness distribution

Mostly fresh with a few aging entries

Median age 53 days; 9 fresh, 3 aging or stale of 12 scanned.

median 53d

Aging

91–180 days

0%

0 entries

Stale

> 180 days

25%

3 entries

Theme distribution

Themes are broadly spread across this view

51 distinct themes with no dominant one. Most common: machine-learning, fine-tuning, ai.

Diverse

51 distinct themes across 12 scanned

Public streamable HTTP MCP server for Tandem documentation—install guides, SDK references, workflow docs, headless deployment, and docs-grounded setup help for the Tandem governed runtime.

Gradio logo
Gradioby Gradio · submitted by oktofeesh1

Apache-2.0 Python framework for building and sharing machine-learning demos, AI web apps, model interfaces, chatbots, API front ends, and interactive evaluation tools.

Anki MCP Server logo

MCP server for Anki flashcards that lets Claude review cards, manage decks, create and update notes, handle tags and media, inspect stats, and drive Anki desktop GUI workflows.

Intelligent code explanation with visual diagrams, step-by-step breakdowns, and interactive examples

Invocation:/explain [options] <code_or_file>
Safety ✓ Privacy ✓
Unsloth logo
Unslothby unslothai · submitted by davion-knight

Open-source library for fast, memory-efficient fine-tuning, reinforcement learning, and training of open LLMs — train 500+ models up to 2x faster with up to 70% less VRAM and no accuracy loss, with LoRA/QLoRA support and export to GGUF, safetensors, vLLM, and Ollama.

Axolotl logo
Axolotlby Axolotl AI · submitted by jaytbarimbao-collab

Free open-source, config-driven LLM fine-tuning framework covering full and parameter-efficient fine-tuning (LoRA, QLoRA), preference tuning (DPO, KTO, ORPO), and reinforcement learning across many model families through declarative YAML configs.

Microsoft logo

Microsoft open-source course for learning AI agents with lessons on agentic frameworks, design patterns, tool use, agentic RAG, trustworthy agents, planning, multi-agent systems, MCP/A2A/NLWeb, memory, browser use, and Microsoft Agent Framework.

Hugging Face logo
Hugging Face Evaluateby Hugging Face · submitted by oktofeesh1

Apache-2.0 library for loading, computing, comparing, saving, and sharing evaluation modules for machine learning models and datasets.

Ray logo
Rayby Ray Project · submitted by oktofeesh1

Apache-2.0 distributed AI compute engine for scaling Python, ML data processing, training, tuning, reinforcement learning, and model serving workloads.

Hugging Face logo

Official Hugging Face Agent Skills collection for Claude Code, Codex, Cursor, Gemini CLI, and other skills-compatible agents, covering Hub CLI workflows, datasets, model search, Spaces, Gradio, fine-tuning, evaluations, local models, papers, Trackio, ZeroGPU, transformers.js, TRL, and the Hugging Face MCP server.

Level:expertType:capability-packVerified:validated
Safety ✓ Privacy ✓

Full-stack AI development specialist bridging frontend, backend, and AI/ML with AI-assisted coding workflows, intelligent code generation, and end-to-end type safety