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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:Vllm project Vllm Multi LoRA Serving
- Workflow:Scikit learn Scikit learn Supervised Classification
- Workflow:Isaac sim IsaacGymEnvs Policy Inference and Evaluation
- Workflow:Astronomer Astronomer cosmos Local dbt DAG rendering
- Workflow:Microsoft DeepSpeedExamples VisualChat Multimodal Training
- Workflow:Online ml River Online Clustering
- Workflow:Sdv dev SDV Constrained synthesis
- Workflow:Mlc ai Web llm Chrome Extension Integration
- Workflow:Axolotl ai cloud Axolotl Multimodal Vision Finetuning
- Workflow:Avhz RustQuant Model Calibration
Principles
- Principle:Apache Kafka Topic Listing
- Principle:ClickHouse ClickHouse TCP Server Startup
- Principle:LaurentMazare Tch rs Operator Overloading
- Principle:Cleanlab Cleanlab Label Issue Filtering
- Principle:Marker Inc Korea AutoRAG Strategy Selection
- Principle:Getgauge Taiko Gauge Environment Configuration
- Principle:Langchain ai Langgraph Docker Deployment
- Principle:Tensorflow Serving Version Label Routing
- Principle:Ggml org Ggml Optimizer Configuration
- Principle:EvolvingLMMs Lab Lmms eval Registry Registration
Implementations
- Implementation:Microsoft Onnxruntime OrtTensorRTProviderOptions
- Implementation:Lucidrains X transformers Paired Sequence Generator Pattern
- Implementation:Bitsandbytes foundation Bitsandbytes Quantize 4bit
- Implementation:Vespa engine Vespa JDisc Core ABI Spec
- Implementation:Microsoft Playwright Agent Expect
- Implementation:Bentoml BentoML ApiToken DataClass
- Implementation:Mlc ai Mlc llm Threaded Engine
- Implementation:Apache Airflow Send Email Vote
- Implementation:Deepset ai Haystack DocumentMAPEvaluator
- Implementation:Microsoft Onnxruntime OrtTrainingSession JNI
Heuristics
- Heuristic:EvolvingLMMs Lab Lmms eval Request Caching Strategy
- Heuristic:Neuml Txtai LLM Context Window Fallback
- Heuristic:Mbzuai oryx Awesome LLM Post training Reference Citation Cap 200
- Heuristic:Tencent Ncnn Optimize Before Quantize
- Heuristic:PacktPublishing LLM Engineers Handbook Dataset Generation Quality Filters
- Heuristic:Puppeteer Puppeteer Timeout Hierarchy
- Heuristic:Farama Foundation Gymnasium Sync Vs Async VectorEnv Selection
- Heuristic:NVIDIA TransformerEngine FP8 Checkpoint Compatibility
- Heuristic:Ggml org Ggml Thread Count Selection
- Heuristic:Apache Flink Hadoop Thread Safety Mutexes
Environments
- Environment:Apache Hudi Flink Runtime Environment
- Environment:Vllm project Vllm Environment Variables
- Environment:Hpcaitech ColossalAI ColossalQA RAG Environment
- Environment:Datajuicer Data juicer LLM API Credentials Environment
- Environment:Marker Inc Korea AutoRAG API Keys Configuration
- Environment:Dagster io Dagster DAGSTER HOME Configuration
- Environment:Unstructured IO Unstructured OpenAI API
- Environment:Google deepmind Dm control EGL Headless Rendering
- Environment:OpenBMB UltraFeedback Python GPU Environment
- Environment:Vllm project Vllm ROCm