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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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| 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:NVIDIA TransformerEngine Comm GEMM Overlap Training
- Workflow:Microsoft Onnxruntime On Device Training
- Workflow:Ollama Ollama OpenAI API Compatibility
- Workflow:Mlc ai Web llm Basic Chat Completion
- Workflow:Unstructured IO Unstructured Chunking And Embedding
- Workflow:HKUDS AI Trader Multi Agent Comparison
- Workflow:Bitsandbytes foundation Bitsandbytes 8bit LLM Int8 Inference
- Workflow:Protectai Modelscan CLI Model Scanning
- Workflow:Getgauge Taiko Headless Browser Testing
- Workflow:SeldonIO Seldon core Model Explainability
Principles
- Principle:MaterializeInc Materialize Docker Image Building
- Principle:Googleapis Python genai Tuning Job Configuration
- Principle:Trailofbits Fickling Safety Verification
- Principle:Openai Evals Eval Orchestration
- Principle:Eventual Inc Daft Table Listing
- Principle:Marker Inc Korea AutoRAG Corpus Sampling
- Principle:Google deepmind Dm control Observable Configuration
- Principle:Datahub project Datahub Recipe Configuration
- Principle:LMCache LMCache CacheBlend Performance Validation
- Principle:Cleanlab Cleanlab Multilabel Quality Scoring
Implementations
- Implementation:TobikoData Sqlmesh API Commands
- Implementation:EvolvingLMMs Lab Lmms eval VideoMathQA CoT Postprocess
- Implementation:BerriAI Litellm MLflow Logger
- Implementation:Romsto Speculative Decoding Speculative Generate
- Implementation:Iterative Dvc Progress
- Implementation:OWASP Www project top 10 for large language model applications StyleValidator Validate
- Implementation:Microsoft Semantic kernel Bing Search TestData
- Implementation:Kserve Kserve InferenceGraph CRD Spec
- Implementation:Microsoft Onnxruntime CUDA PadAndUnflatten
- Implementation:Langfuse Langfuse Sessions UI Table Events Service
Heuristics
- Heuristic:Ollama Ollama Quantization Layer Selection
- Heuristic:Intel Ipex llm LoRA Target All Linear Layers
- Heuristic:Mlfoundations Open flamingo Hungarian MMC4 Image Text Matching
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Strategy Selection
- Heuristic:Sgl project Sglang Schedule Conservativeness Tuning
- Heuristic:Apache Spark Warning Deprecated DStream Streaming
- Heuristic:Fastai Fastbook Batch Size Selection
- Heuristic:Liu00222 Open Prompt Injection Defense Strategy Selection
- Heuristic:Tensorflow Serving Servable Handle Lifetime
- Heuristic:LaurentMazare Tch rs Safetensors Format Preference
Environments
- Environment:Kubeflow Pipelines Python SDK
- Environment:Snorkel team Snorkel Dask Distributed
- Environment:Huggingface Diffusers Training Environment
- Environment:Datahub project Datahub Python Ingestion
- Environment:Huggingface Datasets PyTorch Integration
- Environment:Norrrrrrr lyn WAInjectBench Conda Python 39 CUDA Environment
- Environment:Mit han lab Llm awq CUDA Build Environment
- Environment:TobikoData Sqlmesh Dbt Compatibility
- Environment:Duckdb Duckdb Release Publishing Env
- Environment:Langfuse Langfuse Redis 7 Queue Cache