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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:Googleapis Python genai Function Calling and Tools
- Workflow:EvolvingLMMs Lab Lmms eval Custom Task Creation
- Workflow:Langgenius Dify Application Creation
- Workflow:PrefectHQ Prefect Per Worker Task Concurrency
- Workflow:Avhz RustQuant Model Calibration
- Workflow:Nightwatchjs Nightwatch Component Testing
- Workflow:DataExpert io Data engineer handbook PySpark Job Testing
- Workflow:FlagOpen FlagEmbedding Benchmark Evaluation
- Workflow:AnswerDotAI RAGatouille ColBERT Training
- Workflow:LaurentMazare Tch rs Pretrained Image Classification
Principles
- Principle:Datajuicer Data juicer Data Aggregation
- Principle:Apache Kafka SVN Artifact Staging
- Principle:Protectai Modelscan Middleware Pipeline
- Principle:Datahub project Datahub Protobuf Metadata Emission
- Principle:Googleapis Python genai Content Generation
- Principle:DataExpert io Data engineer handbook Kafka Source Table Definition
- Principle:Mlc ai Web llm Tool Execution Loop
- Principle:Axolotl ai cloud Axolotl Preference Dataset Preparation
- Principle:Openai Evals Result Aggregation
- Principle:Pytorch Serve Metrics Monitoring
Implementations
- Implementation:Microsoft Onnxruntime CUDA ConvTransposeGrad
- Implementation:DevExpress Testcafe BrowserJob
- Implementation:BerriAI Litellm SQS Logger
- Implementation:Interpretml Interpret APLRClassifier And APLRRegressor
- Implementation:Protectai Llm guard Output Bias
- Implementation:Alibaba MNN RapidJSON Reader
- Implementation:Langfuse Langfuse TraceUpsertQueue
- Implementation:Vespa engine Vespa Cluster
- Implementation:DevExpress Testcafe TestCafe CreateRunner
- Implementation:Spcl Graph of thoughts Llama2HF
Heuristics
- Heuristic:CARLA simulator Carla Walker Spawn Vertical Offset
- Heuristic:PacktPublishing LLM Engineers Handbook Token Window Safety Margin
- Heuristic:DataTalksClub Data engineering zoomcamp Dbt Materialization Strategy
- Heuristic:Infiniflow Ragflow Agent Max Rounds Strategy
- Heuristic:Online ml River Hoeffding Tree Grace Period Tuning
- Heuristic:NVIDIA NeMo Aligner PPO Critic Warmup Tip
- Heuristic:Haotian liu LLaVA Tokenizer Version Offset Correction
- Heuristic:NVIDIA NeMo Aligner DPO Sequence Packing Tips
- Heuristic:AnswerDotAI RAGatouille Collection Size Index Tuning
- Heuristic:Apache Druid Query Error Suggestion Patterns
Environments
- Environment:Eric mitchell Direct preference optimization PyTorch CUDA
- Environment:Apache Druid Integration Test Docker
- Environment:ArroyoSystems Arroyo Object Storage
- Environment:Apache Paimon Optional Extensions
- Environment:Huggingface Trl Quantization Environment
- Environment:Huggingface Datasets Audio Video Dependencies
- Environment:Scikit learn Scikit learn OpenMP Thread Configuration
- Environment:VainF Torch Pruning LLM Pruning Dependencies
- Environment:Guardrails ai Guardrails Python 3 10 Runtime
- Environment:Open compass VLMEvalKit Python Runtime Environment