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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:Allenai Open instruct Reward Model Training
- Workflow:Infiniflow Ragflow Knowledge Base Document Ingestion
- Workflow:Dagster io Dagster ETL Pipeline
- Workflow:Mage ai Mage ai Destination Data Loading
- Workflow:ArroyoSystems Arroyo Connection Setup
- Workflow:Mage ai Mage ai Building a New Destination Connector
- Workflow:Volcengine Verl Data Preprocessing For RL
- Workflow:Apache Airflow Core Release Process
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pix2pix Training
- Workflow:Google deepmind Dm control Manipulation Task Setup
Principles
- Principle:ARISE Initiative Robomimic Training Loop Execution
- Principle:Pytorch Serve Distributed Worker
- Principle:FlagOpen FlagEmbedding Multimodal Retrieval
- Principle:Sgl project Sglang Frontend Backend Initialization
- Principle:Mlflow Mlflow Run Management
- Principle:CrewAIInc CrewAI Crew Integration In Flow
- Principle:BerriAI Litellm Server Startup
- Principle:Junyanz Pytorch CycleGAN and pix2pix Training Options Configuration
- Principle:NVIDIA NeMo Aligner DPO Reference Policy Management
- Principle:Fastai Fastbook Stochastic Gradient Descent
Implementations
- Implementation:Rapidsai Cuml Kernel SHAP
- Implementation:Heibaiying BigData Notes ConnectionFactory CreateConnection
- Implementation:Microsoft Playwright TraceViewer Server
- Implementation:Apache Druid ExecutionProgressBarPane
- Implementation:Open compass VLMEvalKit FlashVL
- Implementation:Astronomer Astronomer cosmos Get Dataset Alias Name
- Implementation:Heibaiying BigData Notes Job Assembly and Submission
- Implementation:ArroyoSystems Arroyo Iceberg Schema
- Implementation:ARISE Initiative Robosuite CheckCustomRobotModel
- Implementation:Mlc ai Mlc llm Mistral Model
Heuristics
- Heuristic:Farama Foundation Gymnasium Seeding Determinism Best Practices
- Heuristic:Puppeteer Puppeteer Chrome Default Launch Arguments
- Heuristic:Mlfoundations Open flamingo FSDP Manual Wrapping For Mixed Parameters
- Heuristic:Langgenius Dify Credential Sanitization In API Responses
- Heuristic:DistrictDataLabs Yellowbrick Model Fitted State Detection
- Heuristic:Deepset ai Haystack Pipeline Max Runs Safety Limit
- Heuristic:Ggml org Ggml Gradient Accumulation Batch Sizing
- Heuristic:Fede1024 Rust rdkafka Cooperative Rebalance Protocol
- Heuristic:Kornia Kornia Lazy Loading Optional Deps
- Heuristic:Intel Ipex llm QLoRA Training Hyperparameters
Environments
- Environment:Langfuse Langfuse Node 24 Runtime
- Environment:TA Lib Ta lib python Python Build Environment
- Environment:TobikoData Sqlmesh GitHub CICD Runner
- Environment:Lance format Lance Rust Toolchain
- Environment:Apache Dolphinscheduler Node Pnpm Runtime
- Environment:Marker Inc Korea AutoRAG Japanese NLP Dependencies
- Environment:Sgl project Sglang CUDA
- Environment:Bentoml BentoML Triton Inference Server
- Environment:Dotnet Machinelearning OneDal Acceleration
- Environment:PacktPublishing LLM Engineers Handbook API Credentials