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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:Mlc ai Web llm Basic Chat Completion
- Workflow:Google deepmind Mujoco Interactive simulation
- Workflow:Liu00222 Open Prompt Injection DataSentinel Detection
- Workflow:Googleapis Python genai Text Content Generation
- Workflow:Facebookresearch Audiocraft MusicGen Text To Music Inference
- Workflow:Langgenius Dify Plugin Management
- Workflow:Fede1024 Rust rdkafka Produce Consume Roundtrip
- Workflow:Intel Ipex llm RAG With LangChain
- Workflow:Mlc ai Web llm Web Worker Deployment
- Workflow:Avhz RustQuant Stochastic Process Simulation
Principles
- Principle:InternLM Lmdeploy API Client Integration
- Principle:Arize ai Phoenix Experiment Execution
- Principle:Online ml River Time Series Evaluation
- Principle:Neuml Txtai Sparse Retrieval
- Principle:CrewAIInc CrewAI Crew Integration In Flow
- Principle:ARISE Initiative Robomimic Checkpointing and Model Saving
- Principle:Apache Flink Hybrid Source Processing
- Principle:Pytorch Serve Streaming Cloud Inference
- Principle:Microsoft Autogen Result Aggregation
- Principle:Nautechsystems Nautilus trader Backtest Engine Configuration
Implementations
- Implementation:PacktPublishing LLM Engineers Handbook HuggingFace Load Dataset
- Implementation:Online ml River Stream Iter Arff
- Implementation:BerriAI Litellm Managed Files
- Implementation:Google deepmind Dm control Manipulation Load
- Implementation:TobikoData Sqlmesh Context Invalidate Environment
- Implementation:Openai Openai node Node CJS Auto Lockfile
- Implementation:Pyro ppl Pyro PackedTensor
- Implementation:Fede1024 Rust rdkafka MockCluster Create Topic
- Implementation:Promptfoo Promptfoo Google Sheets Integration
- Implementation:Lucidrains X transformers EntropyBasedTokenizer
Heuristics
- Heuristic:Deepset ai Haystack Pipeline Max Runs Safety Limit
- Heuristic:TobikoData Sqlmesh Execution Time Caching
- Heuristic:Gretelai Gretel synthetics Binary Encoder Cutoff
- Heuristic:Langchain ai Langchain Pydantic V2 Configuration Tips
- Heuristic:ArroyoSystems Arroyo Async UDF Concurrency
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Before Split Leakage
- Heuristic:Openai Openai python Structured Output Strict Schema
- Heuristic:Scikit learn contrib Imbalanced learn KNeighbors Selection Tips
- Heuristic:Pyro ppl Pyro Numerical Stability Patterns
- Heuristic:Tensorflow Tfjs Backend Selection Strategy
Environments
- Environment:Googleapis Python genai Vertex AI Service Account
- Environment:Triton inference server Server TRT LLM Deployment
- Environment:DataExpert io Data engineer handbook Flink Kafka Docker Environment
- Environment:Vllm project Vllm Python
- Environment:Alibaba ROLL Python Runtime Environment
- Environment:Lakeraai Pint benchmark Python 310 With Transformers
- Environment:Togethercomputer Together python Fine Tuning Data Requirements
- Environment:Langgenius Dify Python Backend Environment
- Environment:Nautechsystems Nautilus trader Python Cython Rust Runtime
- Environment:DataTalksClub Data engineering zoomcamp Kafka Confluent Environment