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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.
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| 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 |
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Workflows
- Workflow:MarketSquare Robotframework browser Installation and Setup
- Workflow:Google deepmind Mujoco Offscreen video recording
- Workflow:OpenHands OpenHands SaaS Server Assembly
- Workflow:Openai Evals Running a single eval
- Workflow:Isaac sim IsaacGymEnvs Domain Randomization Training
- Workflow:Bigscience workshop Petals Prompt Tuning Classification
- Workflow:DataExpert io Data engineer handbook AB Experimentation Server
- Workflow:Microsoft Agent framework Multi Agent Concurrent Orchestration
- Workflow:Datahub project Datahub Protobuf Schema Ingestion
- Workflow:Gretelai Gretel synthetics LSTM Text Generation
Principles
- Principle:Webdriverio Webdriverio Page Object Model
- Principle:PacktPublishing LLM Engineers Handbook Model Registry Validation
- Principle:Farama Foundation Gymnasium Space Abstraction
- Principle:Rapidsai Cuml Clustering Evaluation
- Principle:Facebookresearch Habitat lab Rollout Collection and Training
- Principle:Langchain ai Langgraph Interrupt Definition
- Principle:Fastai Fastbook Feature Engineering
- Principle:BerriAI Litellm Fine Tuned Model Usage
- Principle:Webdriverio Webdriverio HTTP Transport
- Principle:Apache Flink File Source Builder Configuration
Implementations
- Implementation:Apache Dolphinscheduler RpcMethodRetryStrategy Pattern
- Implementation:Langchain ai Langgraph Pregel Algo
- Implementation:LMCache LMCache CacheGen Decoder
- Implementation:ArroyoSystems Arroyo Record Partitioning
- Implementation:Deepspeedai DeepSpeed Initialize For SFT
- Implementation:Risingwavelabs Risingwave RelationGraph Component
- Implementation:CrewAIInc CrewAI File Read Tool
- Implementation:Pyro ppl Pyro Autoname Scoping
- Implementation:Online ml River Metrics MCC
- Implementation:Datahub project Datahub FieldPath Schematron
Heuristics
- Heuristic:Neuml Txtai Faiss Index Sizing Tip
- Heuristic:Romsto Speculative Decoding Gamma Tuning
- Heuristic:Recommenders team Recommenders Test Timing Budgets
- Heuristic:Intel Ipex llm NF4 Quantization Best Practice
- Heuristic:Hiyouga LLaMA Factory Gradient Checkpointing Memory Optimization
- Heuristic:Mlfoundations Open flamingo FSDP Manual Wrapping For Mixed Parameters
- Heuristic:Microsoft DeepSpeedExamples RLHF Hyperparameter Guide
- Heuristic:Cohere ai Cohere python ToolCallV2 Auto UUID Override
- Heuristic:ChenghaoMou Text dedup Fingerprint Batch Size One
- Heuristic:PeterL1n BackgroundMattingV2 Checkpoint Interval Tuning
Environments
- Environment:Google research Deduplicate text datasets Rust Cargo Build Environment
- Environment:Datahub project Datahub Spark Lineage Environment
- Environment:Google deepmind Dm control GLFW Desktop Rendering
- Environment:TobikoData Sqlmesh Web UI Stack
- Environment:Guardrails ai Guardrails LLM Provider API Keys
- Environment:Turboderp org Exllamav2 Build Toolchain
- Environment:Apache Flink Java Build Environment
- Environment:Apache Flink Python PyFlink Environment
- Environment:Vespa engine Vespa CMake Cpp23 Build Environment
- Environment:Iamhankai Forest of Thought OpenAI API Credentials