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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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|---|---|---|
| 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:SeldonIO Seldon core Inference Pipeline
- Workflow:TobikoData Sqlmesh Incremental model development
- Workflow:Apache Dolphinscheduler Workflow Execution Lifecycle
- Workflow:Apache Kafka Release Candidate Staging
- Workflow:Openai Evals Building a custom eval
- Workflow:FlagOpen FlagEmbedding Reranker Inference
- Workflow:Dotnet Machinelearning Binary Classification Pipeline
- Workflow:Farama Foundation Gymnasium Policy Gradient Training
- Workflow:Run llama Llama index OpenAI LLM Finetuning
- Workflow:Ollama Ollama Safetensors To GGUF Conversion
Principles
- Principle:Avhz RustQuant Day Count Conventions
- Principle:Microsoft DeepSpeedExamples Inference Performance Measurement
- Principle:Ray project Ray Release Validation Testing
- Principle:ClickHouse ClickHouse Glibc Symbol Replacement
- Principle:Huggingface Open r1 Training Callbacks
- Principle:Spotify Luigi NoSQL Data Targets
- Principle:Nightwatchjs Nightwatch Component Test Execution
- Principle:Evidentlyai Evidently Drift Dataset Metrics
- Principle:Tensorflow Serving Type Safe Erasure
- Principle:Fastai Fastbook Data Collection
Implementations
- Implementation:TobikoData Sqlmesh App Context
- Implementation:Datahub project Datahub HasGlossaryTerms Mixin
- Implementation:Neuml Txtai RAG Init
- Implementation:Treeverse LakeFS Java SDK ImportApi
- Implementation:Run llama Llama index SelectionOutputParser
- Implementation:Mlc ai Mlc llm Block Scale Quantization
- Implementation:Openai Openai node LineDecoder
- Implementation:Ggml org Llama cpp Vdot Benchmark
- Implementation:Mlflow Mlflow Clint Symbol Index
- Implementation:Open compass VLMEvalKit Yi VL
Heuristics
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Instance Norm for Multi GPU
- Heuristic:DataExpert io Data engineer handbook SparkSession Singleton Pattern
- Heuristic:Fastai Fastbook Discriminative Learning Rates
- Heuristic:Langchain ai Langgraph Recursion Limit Tuning
- Heuristic:Arize ai Phoenix Warning Deprecated HallucinationEvaluator
- Heuristic:Langgenius Dify Token Refresh Loop Prevention
- Heuristic:Elevenlabs Elevenlabs python VAD vs Manual Commit Strategy
- Heuristic:Nightwatchjs Nightwatch ESM Module Loading Tips
- Heuristic:Microsoft LoRA Selective LoRA QV Only
- Heuristic:Avhz RustQuant Finite Difference Grid Sizing
Environments
- Environment:Allenai Open instruct vLLM Inference
- Environment:Openclaw Openclaw Node 22 Runtime
- Environment:Volcengine Verl SGLang Rollout Environment
- Environment:Datahub project Datahub Docker Runtime
- Environment:Lm sys FastChat SFT Training Environment
- Environment:Run llama Llama index OpenAI API Configuration
- Environment:ARISE Initiative Robomimic Robosuite Simulation Backend
- Environment:PacktPublishing LLM Engineers Handbook Unsloth Finetuning Environment
- Environment:FlagOpen FlagEmbedding GPU Accelerator Environment
- Environment:SeldonIO Seldon core Go Build Toolchain Environment