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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:Eric mitchell Direct preference optimization SFT Training
- Workflow:Alibaba ROLL Supervised Finetuning Pipeline
- Workflow:Mlfoundations Open flamingo Few Shot Evaluation
- Workflow:Microsoft Semantic kernel Agent Conversation And Orchestration
- Workflow:Infiniflow Ragflow Search Application Setup
- Workflow:Heibaiying BigData Notes Storm Topology Development
- Workflow:Neuml Txtai Agent Orchestration
- Workflow:MaterializeInc Materialize Integration Test Development
- Workflow:Axolotl ai cloud Axolotl Full Finetuning Distributed
- Workflow:BerriAI Litellm SDK Completion
Principles
- Principle:DistrictDataLabs Yellowbrick Scatter Feature Visualization
- Principle:Huggingface Datasets Arrow File Reading
- Principle:Nightwatchjs Nightwatch Component Test Authoring
- Principle:DistrictDataLabs Yellowbrick Type Introspection
- Principle:Openai Openai python Image Result Processing
- Principle:Huggingface Datasets DatasetDict Hub Upload
- Principle:Sgl project Sglang Frontend Backend Initialization
- Principle:Openai Openai agents python Runner Invocation
- Principle:Deepset ai Haystack Document Joining
- Principle:DataTalksClub Data engineering zoomcamp Structured Stream Processing
Implementations
- Implementation:Neuml Txtai Similarity
- Implementation:LMCache LMCache RWLock
- Implementation:Cohere ai Cohere python ToolParameterDefinitionsValue Model
- Implementation:Tensorflow Serving FillPredictRequestFromJson
- Implementation:Lm sys FastChat Build Side By Side Vision Named UI
- Implementation:Interpretml Interpret Term
- Implementation:TobikoData Sqlmesh Common Tooltip
- Implementation:Datahub project Datahub MLModel Entity
- Implementation:Vespa engine Vespa ConfigSubscriber Subscribe
- Implementation:Open compass VLMEvalKit SimpleVQA
Heuristics
- Heuristic:Openai Openai node Warning Deprecated Assistants API
- Heuristic:Fastai Fastbook Weight Decay Tuning
- Heuristic:Intel Ipex llm Llama Padding Token Workaround
- Heuristic:Evidentlyai Evidently Drift Detection Thresholds
- Heuristic:Apache Druid Sampler Limitations And Workarounds
- Heuristic:Mlc ai Web llm KV Cache Window Configuration
- Heuristic:Obss Sahi Confidence Threshold Setting
- Heuristic:Turboderp org Exllamav2 Quantization Conversion Tips
- Heuristic:Nautechsystems Nautilus trader Parquet Row Group Tuning
- Heuristic:MarketSquare Robotframework browser MacOS Sonoma Startup Delay
Environments
- Environment:Tensorflow Tfjs Node Native Runtime
- Environment:Cypress io Cypress Browser Requirements
- Environment:Openai Openai python Voice Helpers
- Environment:Puppeteer Puppeteer Node 18 Runtime
- Environment:Sgl project Sglang Kubernetes
- Environment:Getgauge Taiko Docker Container
- Environment:Spotify Luigi SQLAlchemy Database
- Environment:Hpcaitech ColossalAI ColossalChat Training Environment
- Environment:Sgl project Sglang GitHub Actions
- Environment:Dotnet Machinelearning ONNX Runtime Environment