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Principles
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Implementations
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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
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Workflows
- Workflow:Microsoft Onnxruntime Nodejs Inference
- Workflow:Interpretml Interpret Blackbox Model Explanation
- Workflow:MarketSquare Robotframework browser JavaScript Extension
- Workflow:BerriAI Litellm Router Load Balancing
- Workflow:Unslothai Unsloth Vision Model Finetuning
- Workflow:OWASP Www project top 10 for large language model applications GenAI Red Team Testing
- Workflow:Alibaba ROLL Supervised Finetuning Pipeline
- Workflow:Mlflow Mlflow LLM Tracing
- Workflow:Explodinggradients Ragas Metric Prompt Optimization
- Workflow:DistrictDataLabs Yellowbrick Cluster Analysis
Principles
- Principle:Datahub project Datahub Emitter Instantiation
- Principle:Haosulab ManiSkill Motion Planning Execution
- Principle:Alibaba MNN Diffusion Model Acquisition
- Principle:SeldonIO Seldon core Pipeline Version Progression
- Principle:Sail sg LongSpec Tree Attention Verification
- Principle:Onnx Onnx Opset Version Conversion
- Principle:NVIDIA TransformerEngine Complete Transformer Layer
- Principle:Ollama Ollama GGUF Model Conversion Qwen25Vl
- Principle:Online ml River Online Model Selection
- Principle:Huggingface Optimum Calibration Data Preparation
Implementations
- Implementation:EvolvingLMMs Lab Lmms eval StructEditBench YAML Config
- Implementation:Explodinggradients Ragas ContextRecall Metric
- Implementation:Tensorflow Serving server request logger h
- Implementation:CARLA simulator Carla Show Recorder File Info Tool
- Implementation:Open compass VLMEvalKit Generate Inner
- Implementation:TobikoData Sqlmesh Common Tooltip
- Implementation:ARISE Initiative Robosuite OperationalSpaceController
- Implementation:EvolvingLMMs Lab Lmms eval VLMs Are Biased Utils
- Implementation:Iterative Dvc Repo Artifacts
- Implementation:Lucidrains X transformers Preference Dataset Pattern
Heuristics
- Heuristic:Openai Openai node RunTools Loop Limit
- Heuristic:Microsoft LoRA Warning Deprecated Legacy Examples
- Heuristic:Langfuse Langfuse ClickHouse FINAL Skip Optimization
- Heuristic:Avhz RustQuant Interpolation Method Selection
- Heuristic:NVIDIA NeMo Aligner PPO NCCL Algorithm Setting
- Heuristic:Microsoft Semantic kernel Telemetry Log Level Configuration
- Heuristic:PeterL1n BackgroundMattingV2 Checkpoint Interval Tuning
- Heuristic:NVIDIA NeMo Curator Deduplication Blocksize Tuning
- Heuristic:ChenghaoMou Text dedup Mersenne Prime Backward Compatibility
- Heuristic:Alibaba MNN LLM Runtime Tuning
Environments
- Environment:Nightwatchjs Nightwatch Selenium WebDriver 4
- Environment:Apache Airflow Python Runtime Environment
- Environment:Getgauge Taiko Node Runtime
- Environment:Apache Beam Java Build Environment
- Environment:Webdriverio Webdriverio Browser Driver Environment
- Environment:Snorkel team Snorkel Dask Distributed
- Environment:Lance format Lance Python Environment
- Environment:Eric mitchell Direct preference optimization HuggingFace Transformers
- Environment:Unslothai Unsloth Python Transformers
- Environment:Diagram of thought Diagram of thought LLM API