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1,118
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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|---|---|---|
| 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:Cohere ai Cohere python Semantic Search With Rerank
- Workflow:PrefectHQ Prefect AI Data Analyst Agent
- Workflow:Risingwavelabs Risingwave Sink Connector Pipeline
- Workflow:Haosulab ManiSkill Motion Planning Demo Generation
- Workflow:Huggingface Datasets Dataset Streaming
- Workflow:Testtimescaling Testtimescaling github io GitHub Pages Course Progression
- Workflow:ArroyoSystems Arroyo SQL Pipeline Lifecycle
- Workflow:LLMBook zh LLMBook zh github io DPO Alignment
- Workflow:ClickHouse ClickHouse Building From Source
- Workflow:Allenai Open instruct Tulu3 Full Post Training
Principles
- Principle:Lucidrains X transformers Transformer As MLP
- Principle:Isaac sim IsaacGymEnvs Checkpoint Location
- Principle:Testtimescaling Testtimescaling github io Repository Checkout
- Principle:Shiyu coder Kronos Tokenizer Loading
- Principle:Openai Evals Result Recording
- Principle:Cleanlab Cleanlab Cross Validation Predicted Probabilities
- Principle:Apache Shardingsphere Event Listener Filtering
- Principle:Mage ai Mage ai JSON Schema Loading
- Principle:Microsoft Onnxruntime Training Component Assembly
- Principle:Openai Evals Multiple Choice Evaluation
Implementations
- Implementation:Princeton nlp Tree of thought llm Get Task
- Implementation:Apache Druid GenericOutputTable
- Implementation:Microsoft LoRA Hubconf
- Implementation:Cleanlab Cleanlab Get Label Quality Scores
- Implementation:Open compass VLMEvalKit TextMCQDataset
- Implementation:InternLM Lmdeploy Stream
- Implementation:InternLM Lmdeploy GemmUniversalSm90V5
- Implementation:Online ml River Metrics MCC
- Implementation:Huggingface Optimum Optimum CLI Main
- Implementation:Apache Airflow Cherry Pick Automation
Heuristics
- Heuristic:LaurentMazare Tch rs CuDNN Benchmark Mode
- Heuristic:DevExpress Testcafe MacOS Browser Launch Serialization
- Heuristic:Langfuse Langfuse Fail Open Resilience Pattern
- Heuristic:Danijar Dreamerv3 Replay Context Carry Init
- Heuristic:Protectai Llm guard Lazy Scanner Loading
- Heuristic:MaterializeInc Materialize Docker Image Cache Lookup
- Heuristic:NVIDIA TransformerEngine Attention Backend Selection
- Heuristic:Microsoft Onnxruntime Graph Optimization Level Selection
- Heuristic:Astronomer Astronomer cosmos Cache Strategy Optimization
- Heuristic:PrefectHQ Prefect Task Timeout Thread Limitation
Environments
- Environment:TA Lib Ta lib python TA Lib C Library
- Environment:Sgl project Sglang Prometheus
- Environment:Tensorflow Serving GPU CUDA Environment
- Environment:Intel Ipex llm NPU Cpp Environment
- Environment:Langfuse Langfuse S3 Compatible Storage
- Environment:Bentoml BentoML NVIDIA GPU Resource
- Environment:Langchain ai Langgraph Python Runtime Environment
- Environment:Pola rs Polars Rust Build Environment
- Environment:Pyro ppl Pyro Funsor Backend
- Environment:Arize ai Phoenix Python Runtime