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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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| 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:Deepspeedai DeepSpeed Sequence Parallel Long Context Training
- Workflow:Dagster io Dagster Bluesky Analytics
- Workflow:OpenGVLab InternVL Preference Optimization
- Workflow:ARISE Initiative Robosuite Teleoperation
- Workflow:DistrictDataLabs Yellowbrick Feature Analysis and Selection
- Workflow:Eventual Inc Daft Multimodal AI Batch Inference
- Workflow:OpenRLHF OpenRLHF PPO Ray Training
- Workflow:Dagster io Dagster RAG Pipeline
- Workflow:Cypress io Cypress E2E Test Execution
- Workflow:Diagram of thought Diagram of thought DoT Iterative Reasoning
Principles
- Principle:Apache Paimon Table Configuration
- Principle:Eventual Inc Daft Descriptive Statistics
- Principle:Helicone Helicone Analytics Storage
- Principle:Scikit learn Scikit learn Baseline Models
- Principle:Farama Foundation Gymnasium Generalized Advantage Estimation
- Principle:Volcengine Verl Trajectory Reward Shaping
- Principle:Huggingface Alignment handbook Direct Preference Optimization
- Principle:SeldonIO Seldon core Model Lifecycle Management
- Principle:PacktPublishing LLM Engineers Handbook SageMaker Model Deployment
- Principle:Mlflow Mlflow Trace Search and Analysis
Implementations
- Implementation:ArroyoSystems Arroyo Compile Sql
- Implementation:FlagOpen FlagEmbedding LLM Embedder SRLM
- Implementation:Datahub project Datahub DatahubSparkListener Legacy
- Implementation:Tencent Ncnn Top K Result Sorting
- Implementation:Apache Flink PartitionCommitPolicy
- Implementation:Eventual Inc Daft Catalog From Iceberg
- Implementation:Promptfoo Promptfoo Strategies Data Catalog
- Implementation:Interpretml Interpret Avx2 32
- Implementation:Sgl project Sglang Common Extension Registration
- Implementation:Apache Airflow ListenerManager Hooks
Heuristics
- Heuristic:Openai Openai agents python Sensitive Data Logging Defaults
- Heuristic:Kornia Kornia CPU GPU Branching Tip
- Heuristic:Protectai Llm guard Lazy Scanner Loading
- Heuristic:Intel Ipex llm CCL Distributed Training Tips
- Heuristic:Openai Openai node Warning Deprecated Beta Realtime
- Heuristic:PeterL1n BackgroundMattingV2 Refine Mode Selection
- Heuristic:Openai Evals Model Graded Eval Design
- Heuristic:Ucbepic Docetl Optimizer Sample Sizes
- Heuristic:Vibrantlabsai Ragas Analytics Silent Failure Pattern
- Heuristic:Microsoft Onnxruntime Flash Attention Optimization
Environments
- Environment:Pola rs Polars Rust Build Environment
- Environment:Openai Openai agents python Memory Extensions Dependencies
- Environment:Mistralai Client python Python SDK Environment
- Environment:Onnx Onnx Cpp Build Environment
- Environment:Dotnet Machinelearning Dotnet SDK And Runtime
- Environment:Diagram of thought Diagram of thought LLM API
- Environment:Alibaba MNN ARM Mobile Environment
- Environment:Openai Openai python Azure OpenAI
- Environment:FlowiseAI Flowise Node Runtime Environment
- Environment:Huggingface Transformers Flash Attention 2 Env