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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:Mlflow Mlflow Prompt Management
- Workflow:Snorkel team Snorkel Data Augmentation
- Workflow:Microsoft Autogen Studio Team Deployment
- Workflow:CrewAIInc CrewAI Crew Training And Testing
- Workflow:Ray project Ray Remote Task Execution
- Workflow:Kubeflow Pipelines Standalone Deployment
- Workflow:Microsoft Semantic kernel Agent Conversation And Orchestration
- Workflow:Speechbrain Speechbrain Speech Enhancement Training
- Workflow:Datajuicer Data juicer Dataset Quality Analysis
- Workflow:Guardrails ai Guardrails Streaming Validation
Principles
- Principle:Onnx Onnx Shape Inference
- Principle:Google deepmind Dm control Robot Configuration
- Principle:Speechbrain Speechbrain Dataset Pipeline Construction
- Principle:DistrictDataLabs Yellowbrick Error Handling
- Principle:Apache Flink Source Connector Framework
- Principle:Ollama Ollama OpenAI Route Registration
- Principle:LMCache LMCache Prefiller Instance Launch
- Principle:OWASP Www project top 10 for large language model applications Real World Incident Cross Reference
- Principle:Recommenders team Recommenders SAR Model Training
- Principle:Arize ai Phoenix Application Instrumentation
Implementations
- Implementation:Iamhankai Forest of Thought ToT Task Run
- Implementation:CARLA simulator Carla Actor API Spec
- Implementation:Mlflow Mlflow Build Packages
- Implementation:Datajuicer Data juicer VideoAspectRatioFilter
- Implementation:Arize ai Phoenix Legacy GeminiModel
- Implementation:Elevenlabs Elevenlabs python WidgetConfigResponse
- Implementation:Openai Openai python Response Code Interpreter Tool Call Param
- Implementation:CARLA simulator Carla Python AdRss Bindings
- Implementation:Mbzuai oryx Awesome LLM Post training Collection Config Variables
- Implementation:TobikoData Sqlmesh Toggle
Heuristics
- Heuristic:Marker Inc Korea AutoRAG Batch Size Tuning
- Heuristic:Iamhankai Forest of Thought UCB Exploration Constant
- Heuristic:Mlc ai Mlc llm Metal KV Cache Capacity Limit
- Heuristic:AUTOMATIC1111 Stable diffusion webui NaN Detection And Precision Fixes
- Heuristic:Huggingface Optimum Device Offload Constraints
- Heuristic:Kornia Kornia Lazy Loading Optional Deps
- Heuristic:Ggml org Llama cpp Quantization Quality Tips
- Heuristic:ARISE Initiative Robomimic HDF5 Cache Mode Selection
- Heuristic:Astronomer Astronomer cosmos Memory Optimised Imports
- Heuristic:CrewAIInc CrewAI LLM Provider Message Workarounds
Environments
- Environment:Apache Shardingsphere Calcite Federation Engine
- Environment:Testtimescaling Testtimescaling github io Semantic Scholar API
- Environment:Datahub project Datahub Java 17 Backend Environment
- Environment:Promptfoo Promptfoo Node Runtime
- Environment:DataTalksClub Data engineering zoomcamp PySpark Batch Environment
- Environment:BerriAI Litellm Docker Deployment
- Environment:Ollama Ollama GPU Runtime
- Environment:Arize ai Phoenix Frontend Node 22
- Environment:Unstructured IO Unstructured Libmagic
- Environment:Intel Ipex llm NPU Environment