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Workflows
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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:DataTalksClub Data engineering zoomcamp Docker PostgreSQL Data Ingestion
- Workflow:Nightwatchjs Nightwatch Page Object Pattern
- Workflow:Neuml Txtai Agent Execution
- Workflow:PrefectHQ Prefect API Sourced ETL
- Workflow:Vibrantlabsai Ragas Experiment Driven Development
- Workflow:SeleniumHQ Selenium Page Object Pattern Testing
- Workflow:Google deepmind Dm control Locomotion Task Setup
- Workflow:Isaac sim IsaacGymEnvs Policy Inference and Evaluation
- Workflow:Haotian liu LLaVA Web Demo Deployment
- Workflow:NVIDIA NeMo Curator Video Curation Pipeline
Principles
- Principle:HKUDS AI Trader OHLCV Price Data Schema
- Principle:Huggingface Optimum GPTQ Model Conversion
- Principle:Puppeteer Puppeteer JavaScript Object Handling
- Principle:Getgauge Taiko Gauge Step Implementation
- Principle:DataTalksClub Data engineering zoomcamp Parquet Data Ingestion
- Principle:Togethercomputer Together python LLM Evaluation
- Principle:ClickHouse ClickHouse Server Health Verification
- Principle:Ollama Ollama GGUF Model Conversion Llama4
- Principle:Marker Inc Korea AutoRAG Configuration Loading
- Principle:Kserve Kserve Prefill Decode Specification
Implementations
- Implementation:Online ml River Bandit Envs CandyCane
- Implementation:Duckdb Duckdb Parquet Types
- Implementation:Langchain ai Langchain HuggingFaceEndpointEmbeddings
- Implementation:Google deepmind Mujoco Engine Inline
- Implementation:Pyro ppl Pyro Predictive MCMC
- Implementation:Kserve Kserve InferenceService CRD Spec
- Implementation:Protectai Llm guard Input BanTopics
- Implementation:Farama Foundation Gymnasium Space Utils
- Implementation:Rapidsai Cuml Genetic API
- Implementation:NVIDIA NeMo Curator Fuzzy IdentifyDuplicatesStage
Heuristics
- Heuristic:LLMBook zh LLMBook zh github io DPO Beta Hyperparameter
- Heuristic:Avdvg InjectGuard Sim K Threshold Tuning
- Heuristic:Promptfoo Promptfoo Warning Deprecated Cache Migration
- Heuristic:Roboflow Rf detr EMA Best Checkpoint Strategy
- Heuristic:Apache Shardingsphere Shadow Routing Hint First Fallback
- Heuristic:Lance format Lance Encoding Compression Thresholds
- Heuristic:Alibaba MNN GPU Tuning Modes
- Heuristic:Evidentlyai Evidently Statistical Test Auto Selection
- Heuristic:Openai Openai node RunTools Loop Limit
- Heuristic:Explodinggradients Ragas Retry And Backoff Configuration
Environments
- Environment:MaterializeInc Materialize Dbt Materialize Runtime
- Environment:Langgenius Dify Docker Compose Environment
- Environment:Apache Kafka Docker Build Environment
- Environment:Unstructured IO Unstructured Ingest CLI
- Environment:Axolotl ai cloud Axolotl CUDA GPU
- Environment:Webdriverio Webdriverio Browser Driver Environment
- Environment:Huggingface Alignment handbook Python TRL
- Environment:Facebookresearch Habitat lab CUDA GPU Training Environment
- Environment:Bigscience workshop Petals CUDA Server
- Environment:Bigscience workshop Petals Python Hivemind