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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 |
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Workflows
- Workflow:Ggml org Llama cpp HF to GGUF Model Conversion
- Workflow:Evidentlyai Evidently Monitoring Dashboard Setup
- Workflow:Mistralai Client python Text Embeddings
- Workflow:Langgenius Dify Plugin Installation and Configuration
- Workflow:Deepset ai Haystack RAG Evaluation Pipeline
- Workflow:Wandb Weave Prompt Management
- Workflow:Apache Dolphinscheduler Workflow Execution Lifecycle
- Workflow:Google deepmind Mujoco Interactive simulation
- Workflow:Heibaiying BigData Notes Spark SQL Data Analysis
- Workflow:PrefectHQ Prefect AI Data Analyst Agent
Principles
- Principle:Vespa engine Vespa Container Image Building
- Principle:SeldonIO Seldon core Candidate Model Deployment
- Principle:Fastai Fastbook Tabular Preprocessing
- Principle:Langchain ai Langchain Release Preparation
- Principle:Sdv dev SDV DayZ Multi Table Parameter Detection
- Principle:Mlc ai Mlc llm OpenAI API Integration
- Principle:Langchain ai Langgraph State Schema Definition
- Principle:Vllm project Vllm LoRA Output Processing
- Principle:Ggml org Llama cpp Evaluation Model Loading
- Principle:Ggml org Ggml Weight Extraction and Mapping
Implementations
- Implementation:FMInference FlexLLMGen Petals Benchmark
- Implementation:Puppeteer Puppeteer Cdp Browser
- Implementation:Ucbepic Docetl UseDecomposeWebSocket
- Implementation:Ray project Ray RayConfig
- Implementation:Pyro ppl Pyro Pyro Deterministic
- Implementation:Langchain ai Langchain Anthropic Bash Middleware
- Implementation:Anthropics Anthropic sdk python Messages Create
- Implementation:DistrictDataLabs Yellowbrick SilhouetteVisualizer
- Implementation:Tensorflow Tfjs LayersModel Save
- Implementation:TobikoData Sqlmesh API Environments
Heuristics
- Heuristic:Microsoft LoRA LoRA Rank Selection
- Heuristic:Fede1024 Rust rdkafka Manual Offset Store Pattern
- Heuristic:CARLA simulator Carla Synchronous Mode Fixed Delta
- Heuristic:Microsoft Agent framework PowerFx Python Version Limit
- Heuristic:Marker Inc Korea AutoRAG Passage Filter Safety Minimum
- Heuristic:Vibrantlabsai Ragas Warning Deprecated V1 Metrics
- Heuristic:Shiyu coder Kronos Two Stage Finetuning Strategy
- Heuristic:Apache Kafka Unknown Record Type Upgrade Safety
- Heuristic:Protectai Modelscan Exit Code Conventions
- Heuristic:Haotian liu LLaVA Use Cache Training Inference Toggle
Environments
- Environment:Unslothai Unsloth Python Transformers
- Environment:Norrrrrrr lyn WAInjectBench Conda Python 39 CUDA Environment
- Environment:Getgauge Taiko Docker Container
- Environment:Farama Foundation Gymnasium Python 3 10 Runtime
- Environment:Intel Ipex llm Linux XPU Environment
- Environment:Vespa engine Vespa Java 17 Build Runtime
- Environment:Tensorflow Serving Python Client Environment
- Environment:Bentoml BentoML BentoCloud Credentials
- Environment:NVIDIA NeMo Curator Ray Cluster
- Environment:Mlflow Mlflow Docker Container Environment