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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 |
Explore Pages
Workflows
- Workflow:Mit han lab Llm awq HuggingFace Model Export
- Workflow:Bentoml BentoML Bento Build And Containerization
- Workflow:Microsoft LoRA LoRA Integration
- Workflow:Apache Flink Hybrid Source Switching
- Workflow:Kubeflow Pipelines XGBoost Training Pipeline
- Workflow:Hiyouga LLaMA Factory LoRA SFT Finetuning
- Workflow:Webdriverio Webdriverio Cucumber BDD Testing
- Workflow:MarketSquare Robotframework browser API Testing via Browser
- Workflow:Iterative Dvc Data Tracking
- Workflow:DistrictDataLabs Yellowbrick Classification Model Evaluation
Principles
- Principle:Lucidrains X transformers Aligned Model Evaluation
- Principle:Nightwatchjs Nightwatch Custom Assertion Creation
- Principle:Langgenius Dify Model Provider Management
- Principle:ClickHouse ClickHouse PCG Random Number Generation
- Principle:Duckdb Duckdb Source Amalgamation
- Principle:Facebookresearch Audiocraft Export Directory Organization
- Principle:Openclaw Openclaw Skill Loading
- Principle:Scikit learn contrib Imbalanced learn Package Initialization
- Principle:Interpretml Interpret Local Explanation Generation
- Principle:Microsoft Autogen Tool Workbench
Implementations
- Implementation:Microsoft BIPIA Clean Response Inference
- Implementation:Apache Airflow TaskInstance Listener Spec
- Implementation:Turboderp org Exllamav2 ThreadPool
- Implementation:Vibrantlabsai Ragas ChrfScore
- Implementation:Online ml River Datasets ChickWeights
- Implementation:BerriAI Litellm S3 Logger
- Implementation:Apache Druid InputFormatStep
- Implementation:Infiniflow Ragflow LinkToDatasetDialog Component
- Implementation:MarketSquare Robotframework browser Inv Utest Atest
- Implementation:Deepset ai Haystack Logging Configuration
Heuristics
- Heuristic:Rapidsai Cuml GPU Cache Alignment
- Heuristic:Apache Hudi Write Memory Tuning
- Heuristic:Deepset ai Haystack Document Splitting Defaults
- Heuristic:NVIDIA DALI Last Batch Policy Selection
- Heuristic:Apache Shardingsphere DDL Refresher Superclass Fallback
- Heuristic:Apache Druid Auto Granularity Selection
- Heuristic:Facebookresearch Habitat lab Mini Batch Environment Divisibility
- Heuristic:Ggml org Llama cpp Batch Size BLAS Minimum
- Heuristic:Openclaw Openclaw Cache TTL Asymmetric Strategy
- Heuristic:PacktPublishing LLM Engineers Handbook Chunking Strategy By Content Type
Environments
- Environment:SeldonIO Seldon core Go Build Toolchain Environment
- Environment:Spotify Luigi SQLAlchemy Database
- Environment:Datahub project Datahub Python Ingestion
- Environment:Alibaba ROLL Ascend NPU Environment
- Environment:Intel Ipex llm Portable Environment
- Environment:Mlc ai Mlc llm TVM Runtime Environment
- Environment:Apache Paimon Python Core Runtime
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:Fede1024 Rust rdkafka Rust Librdkafka Build Environment
- Environment:Datajuicer Data juicer Ray Cluster Environment