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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 |
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Workflows
- Workflow:Langgenius Dify App Creation and Configuration
- Workflow:Fede1024 Rust rdkafka Mock Cluster Testing
- Workflow:Astronomer Astronomer cosmos Local dbt DAG rendering
- Workflow:Apache Dolphinscheduler RPC Service Communication
- Workflow:Vllm project Vllm Speculative Decoding
- Workflow:Langgenius Dify Application Creation
- Workflow:Lucidrains X transformers Non Autoregressive Masked Generation
- Workflow:Openai Openai python Responses API Text Generation
- Workflow:OpenHands OpenHands GitHub Webhook Event Processing
- Workflow:Langchain ai Langgraph ReAct Agent Creation
Principles
- Principle:Speechbrain Speechbrain Speaker Verification Scoring
- Principle:Princeton nlp Tree of thought llm Result Validation
- Principle:Webdriverio Webdriverio UtilityPattern
- Principle:Treeverse LakeFS GC Job Execution
- Principle:Wandb Weave Prompt Versioning
- Principle:Apache Dolphinscheduler Parameter Validation And Transformation
- Principle:Iterative Dvc Experiment Pipeline Execution
- Principle:Elevenlabs Elevenlabs python Text Source Preparation
- Principle:Norrrrrrr lyn WAInjectBench Image Embedding Initialization
- Principle:Pola rs Polars Dynamic Temporal Aggregation
Implementations
- Implementation:Apache Druid ExpressionMenu
- Implementation:Google deepmind Mujoco Filament Model Util
- Implementation:Neuml Txtai Embeddings Save Load
- Implementation:Ggml org Ggml Virtgpu backend
- Implementation:Haifengl Smile DataType System
- Implementation:Openai Openai agents python Tool Input Guardrail Decorator
- Implementation:Avhz RustQuant GarmanKohlhagen83 Model
- Implementation:SeleniumHQ Selenium FederatedCredentialManagementDialog
- Implementation:FlowiseAI Flowise OpenAIAssistantLayout
- Implementation:Online ml River Base Estimator
Heuristics
- Heuristic:Tensorflow Serving Warning Deprecated CreateTfrtSavedModel Raw
- Heuristic:Vespa engine Vespa Config Polling Timeout Tuning
- Heuristic:Shiyu coder Kronos Sampling Temperature Tuning
- Heuristic:Microsoft DeepSpeedExamples Gradient Checkpointing Tradeoff
- Heuristic:Allenai Open instruct BFloat16 Training
- Heuristic:Hpcaitech ColossalAI Empty Cache Between Phases
- Heuristic:MarketSquare Robotframework browser MacOS Sonoma Startup Delay
- Heuristic:Kserve Kserve VLLM GPU Memory Utilization
- Heuristic:PeterL1n BackgroundMattingV2 Refine Mode Selection
- Heuristic:Microsoft BIPIA BF16 Compute Capability Check
Environments
- Environment:Truera Trulens Python Core Environment
- Environment:Intel Ipex llm XPU Finetuning Environment
- Environment:Microsoft LoRA NLU Conda Environment
- Environment:Kserve Kserve Istio Service Mesh
- Environment:Avhz RustQuant Rust Stable
- Environment:DataTalksClub Data engineering zoomcamp Docker PostgreSQL Python Environment
- Environment:BerriAI Litellm Observability Stack
- Environment:Kornia Kornia ONNX Runtime Environment
- Environment:Kubeflow Kubeflow Kubectl Kustomize CLI Environment
- Environment:Eric mitchell Direct preference optimization PyTorch CUDA