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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.
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|---|---|---|
| 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:NVIDIA DALI Video Processing Pipeline
- Workflow:FlowiseAI Flowise Chatbot Deployment
- Workflow:TobikoData Sqlmesh Github CICD automation
- Workflow:PrefectHQ Prefect API Sourced ETL
- Workflow:Vespa engine Vespa Config subscription lifecycle
- Workflow:Datahub project Datahub Docker Quickstart Deployment
- Workflow:Onnx Onnx Model Validation
- Workflow:Groq Groq python Streaming Chat Completion
- Workflow:Mit han lab Llm awq AWQ Model Quantization
- Workflow:Microsoft Onnxruntime Python Inference Pipeline
Principles
- Principle:FMInference FlexLLMGen DeepSpeed Initialization
- Principle:Kserve Kserve Canary Deployment Initialization
- Principle:Spotify Luigi Worker Scheduler Communication
- Principle:Ollama Ollama GGUF Model Conversion Qwen3Next
- Principle:Marker Inc Korea AutoRAG Serve And Monitor
- Principle:Rapidsai Cuml Model Explainability
- Principle:SeldonIO Seldon core Usage Metrics Publishing
- Principle:Mage ai Mage ai Destination State Checkpointing
- Principle:Triton inference server Server Source Build
- Principle:DistrictDataLabs Yellowbrick Prediction Error Analysis
Implementations
- Implementation:Evidentlyai Evidently Legacy Generated Features
- Implementation:Openai Openai python Input Tokens Count
- Implementation:Huggingface Peft Diffusion PEFT Adapter
- Implementation:Bentoml BentoML OTLPMonitor
- Implementation:Apache Airflow DagFileProcessorManager Discovery
- Implementation:Apache Druid InfoMessages
- Implementation:Lance format Lance EncodingFormat
- Implementation:CARLA simulator Carla Client Constructor
- Implementation:Guardrails ai Guardrails Guard Use Custom Validator
- Implementation:Alibaba MNN FlatBuffers IDL Gen PHP
Heuristics
- Heuristic:ThreeSR Awesome Inference Time Scaling Duplicate Detection By Title
- Heuristic:Datahub project Datahub Emitter Selection Strategy
- Heuristic:OpenRLHF OpenRLHF Off Policy IS Correction Tip
- Heuristic:Microsoft Autogen Warning Deprecated JSON Env Files
- Heuristic:Mlc ai Web llm Low Resource Model Selection
- Heuristic:Online ml River ARF Drift Detection Sensitivity
- Heuristic:Triton inference server Server Concurrency Throughput Rule
- Heuristic:Apache Airflow DAG Complexity Reduction
- Heuristic:PrefectHQ Prefect Retry Backoff Strategy
- Heuristic:Datahub project Datahub Gradle Formatting Over Direct Tools
Environments
- Environment:Open compass VLMEvalKit Python Runtime Environment
- Environment:Cleanlab Cleanlab Image Quality Dependencies
- Environment:Eventual Inc Daft Ray Distributed Runner
- Environment:Rapidsai Cuml Python RAPIDS Stack
- Environment:Iamhankai Forest of Thought Python CUDA Runtime
- Environment:Getgauge Taiko Node Runtime
- Environment:Eventual Inc Daft Cloud Storage Credentials
- Environment:PacktPublishing LLM Engineers Handbook API Credentials
- Environment:Wandb Weave Python SDK Runtime
- Environment:FlowiseAI Flowise Node Runtime Environment