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<div style="font-size:0.8em; color:#666; margin-top:2px;">Workflows</div> | |||
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<div style="font-size:0.8em; color:#666; margin-top:2px;">Principles</div> | |||
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<div style="font-size:0.8em; color:#666; margin-top:2px;">Implementations</div> | |||
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== Welcome to {{SITENAME}} == | == Welcome to {{SITENAME}} == | ||
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Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast. | Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast. | ||
'''Connect your AI coding agent.''' Plug Leeroopedia into your favorite coding agent | '''Connect your AI coding agent.''' Plug Leeroopedia into your favorite coding agent, and let it build robust AI/ML systems autonomously: | ||
''' | * [https://github.com/Leeroo-AI/superml '''SuperML plugin'''] — converts your AI coding agent into an expert ML engineer with agentic memory | ||
* [https://github.com/Leeroo-AI/leeroopedia-mcp '''Leeroopedia MCP'''] — search over best-practices and skills of ML/AI | |||
* [https://github.com/leeroo-ai/kapso '''Kapso'''] — experimentation platform for autonomous AI/ML software building | |||
== Browse by Category == | == Browse by Category == | ||
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== | == Explore Pages == | ||
=== Workflows === | === Workflows === | ||
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=== Principles === | === Principles === | ||
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=== Implementations === | === Implementations === | ||
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=== Heuristics === | === Heuristics === | ||
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=== Environments === | === Environments === | ||
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Latest revision as of 11:45, 14 March 2026
27,667
Total Pages
1,118
Workflows
7,697
Principles
16,832
Implementations
1,245
Heuristics
909
Environments
Welcome to Leeroopedia
Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
Connect your AI coding agent. Plug Leeroopedia into your favorite coding agent, and let it build robust AI/ML systems autonomously:
- SuperML plugin — converts your AI coding agent into an expert ML engineer with agentic memory
- Leeroopedia MCP — search over best-practices and skills of ML/AI
- Kapso — experimentation platform for autonomous AI/ML software building
Browse by Category
| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
Explore Pages
Workflows
- Workflow:Axolotl ai cloud Axolotl Full Finetuning Distributed
- Workflow:Recommenders team Recommenders ALS Spark Recommendation
- Workflow:HKUDS AI Trader Agent Decision Loop
- Workflow:Mlc ai Web llm Web Worker Deployment
- Workflow:Shiyu coder Kronos CSV Finetuning
- Workflow:Ggml org Llama cpp HF to GGUF Model Conversion
- Workflow:Ggml org Llama cpp Speculative Decoding
- Workflow:PacktPublishing LLM Engineers Handbook Dataset Generation
- Workflow:Google deepmind Dm control Multi Agent Soccer Setup
- Workflow:LMCache LMCache P2P KV Cache Sharing
Principles
- Principle:Apache Paimon Ray Data Source Reading
- Principle:DistrictDataLabs Yellowbrick Documentation Build
- Principle:Nightwatchjs Nightwatch Browser Command Execution
- Principle:Togethercomputer Together python File Upload For Batch
- Principle:Gretelai Gretel synthetics LSTM Model Training
- Principle:Avdvg InjectGuard Malicious Dataset Loading
- Principle:Apache Hudi Split Discovery And Pruning
- Principle:Mage ai Mage ai HTTP Client Request
- Principle:Apache Kafka Artifact Signing
- Principle:Datahub project Datahub CLI Installation
Implementations
- Implementation:Mlc ai Mlc llm OLMo Model
- Implementation:Intel Ipex llm Env Check Windows
- Implementation:Cleanlab Cleanlab Regression Get Label Quality Scores
- Implementation:Huggingface Datatrove StatsMerger
- Implementation:Microsoft Autogen Studio Component Editor
- Implementation:Openai Openai python Response Image Gen Call Generating
- Implementation:Arize ai Phoenix Client Config
- Implementation:TobikoData Sqlmesh Lineage Utils
- Implementation:Huggingface Datasets Xml Builder
- Implementation:EvolvingLMMs Lab Lmms eval IFEval Utils
Heuristics
- Heuristic:OpenGVLab InternVL LoRA Alpha Scaling
- Heuristic:Scikit learn contrib Imbalanced learn Sparse Matrix Handling
- Heuristic:Interpretml Interpret EBM Hyperparameter Tuning Guide
- Heuristic:Truera Trulens Trace Compression Token Limits
- Heuristic:CARLA simulator Carla Sensor Queue Synchronization Pattern
- Heuristic:Apache Beam Lock Contention Batching
- Heuristic:Elevenlabs Elevenlabs python Text Chunking Splitter Characters
- Heuristic:Openai Openai python Timeout Connection Defaults
- Heuristic:Promptfoo Promptfoo Retry With Jitter
- Heuristic:LLMBook zh LLMBook zh github io DPO Beta Hyperparameter
Environments
- Environment:Tencent Ncnn Build Environment
- Environment:Huggingface Datatrove Slurm Cluster Environment
- Environment:OpenGVLab InternVL Flash Attention 2
- Environment:Langchain ai Langchain Unit Test Network Isolation
- Environment:FlowiseAI Flowise Database Environment
- Environment:Togethercomputer Together python API Credentials
- Environment:OpenGVLab InternVL PEFT LoRA
- Environment:InternLM Lmdeploy Build From Source
- Environment:Eric mitchell Direct preference optimization Python Dependencies
- Environment:Togethercomputer Together python Fine Tuning Data Requirements