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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:TobikoData Sqlmesh Plan and apply deployment
- Workflow:Guardrails ai Guardrails Server Deployment
- Workflow:Deepset ai Haystack Hybrid Document Search
- Workflow:PrefectHQ Prefect Dbt Model Orchestration
- Workflow:Mlfoundations Open flamingo Few Shot Evaluation
- Workflow:Kubeflow Kubeflow Platform Deployment
- Workflow:BerriAI Litellm Fine Tuning Job
- Workflow:Getgauge Taiko Network Request Interception
- Workflow:Bigscience workshop Petals Server Contribution
Principles
- Principle:Microsoft Semantic kernel Orchestration Result Collection
- Principle:Openai Evals Solver Implementation
- Principle:ArroyoSystems Arroyo UDF Lifecycle Management
- Principle:Avhz RustQuant Order Management
- Principle:NVIDIA DALI Generic Iterator
- Principle:Triton inference server Server Model Lifecycle Testing
- Principle:MarketSquare Robotframework browser Release Publication
- Principle:OpenRLHF OpenRLHF PPO Training Loop
- Principle:Apache Hudi Feature Exploration
- Principle:Confident ai Deepeval Offline Trace Evaluation
Implementations
- Implementation:Microsoft Onnxruntime GlobalSubscriberManager Usage
- Implementation:Scikit learn Scikit learn KernelApproximation
- Implementation:HKUDS AI Trader Get Agent Class
- Implementation:PrefectHQ Prefect Create Markdown Artifact
- Implementation:Facebookresearch Audiocraft MusicGen set generation params
- Implementation:Fede1024 Rust rdkafka StreamConsumer Recv
- Implementation:Microsoft DeepSpeedExamples Text Generation Test
- Implementation:Recommenders team Recommenders NCF NNI Training
- Implementation:Microsoft Onnxruntime NodeInfo
- Implementation:Deepset ai Haystack SASEvaluator
Heuristics
- Heuristic:Arize ai Phoenix Notebook Event Loop Patching
- Heuristic:Huggingface Optimum Dummy Input Shape Defaults
- Heuristic:Huggingface Open r1 Code Execution Timeout Strategy
- Heuristic:Helicone Helicone ClickHouse ReplacingMergeTree FINAL
- Heuristic:Mlfoundations Open flamingo Deterministic Shard Shuffling
- Heuristic:Online ml River SNARIMAX Default Regressor Pipeline
- Heuristic:Microsoft Semantic kernel Custom HttpClient Retry Policy
- Heuristic:Nightwatchjs Nightwatch Node 17 DNS IPv4 Workaround
- Heuristic:PeterL1n BackgroundMattingV2 Backbone Scale Selection
- Heuristic:DataTalksClub Data engineering zoomcamp GCS Upload Timeout Workaround
Environments
- Environment:Vllm project Vllm Buildkite
- Environment:Apache Paimon Python Core Runtime
- Environment:Openai Openai agents python MCP Dependencies
- Environment:Kubeflow Pipelines Python SDK
- Environment:TobikoData Sqlmesh GitHub CICD Runner
- Environment:Tencent Ncnn PyTorch Environment
- Environment:Hiyouga LLaMA Factory FP8 Training Environment
- Environment:Trailofbits Fickling PyTorch
- Environment:Tensorflow Serving Build Environment
- Environment:Ggml org Ggml CUDA GPU Environment