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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:Apache Flink Hybrid Source Switching
- Workflow:Langchain ai Langgraph Human in the Loop Agent
- Workflow:Openai Openai agents python Basic Agent Execution
- Workflow:Facebookresearch Audiocraft JASCO Conditioned Music Generation
- Workflow:ChenghaoMou Text dedup MinHash LSH Deduplication
- Workflow:Ggml org Llama cpp HF to GGUF Model Conversion
- Workflow:Mage ai Mage ai Building a New Destination Connector
- Workflow:Mbzuai oryx Awesome LLM Post training Deep Paper Collection
- Workflow:MaterializeInc Materialize CI Pipeline Generation
- Workflow:Kserve Kserve LLM Inference Serving
Principles
- Principle:Tencent Ncnn SSD Object Detection
- Principle:Ggml org Llama cpp Target Model Loading
- Principle:Huggingface Datatrove FineWeb Quality Heuristics
- Principle:Triton inference server Server Source Build
- Principle:Nautechsystems Nautilus trader External Data Loading
- Principle:Googleapis Python genai Tuning Job Launch
- Principle:PacktPublishing LLM Engineers Handbook Application Configuration Management
- Principle:Openai Openai agents python Runner Invocation
- Principle:Microsoft Playwright Test Configuration
- Principle:Ollama Ollama Model Loading And GPU Scheduling
Implementations
- Implementation:Promptfoo Promptfoo readTests
- Implementation:OpenHands OpenHands Accordion
- Implementation:Vllm project Vllm Scalar Type
- Implementation:Iterative Dvc Checkout
- Implementation:Kserve Kserve Triton MMS Perf Test
- Implementation:Rapidsai Cuml Dependencies
- Implementation:Ggml org Llama cpp Unicode Data
- Implementation:CARLA simulator Carla BlueprintLibrary Filter
- Implementation:Openai Evals SolverToolsConvo Runner
- Implementation:CARLA simulator Carla Junction
Heuristics
- Heuristic:Openai Openai python Structured Output Strict Schema
- Heuristic:Langfuse Langfuse BullMQ Retry Strategy Patterns
- Heuristic:Mlfoundations Open flamingo Deterministic Shard Shuffling
- Heuristic:DataExpert io Data engineer handbook SparkSession Singleton Pattern
- Heuristic:Haosulab ManiSkill Num Envs Backend Selection
- Heuristic:DevExpress Testcafe Assertion Retry Timing
- Heuristic:Treeverse LakeFS Presigned URL Expiry Tip
- Heuristic:Astronomer Astronomer cosmos Watcher Queue Sizing
- Heuristic:Apache Airflow Scheduler Performance Tuning
- Heuristic:Openai Openai python Fine Tuning Data Preparation Tips
Environments
- Environment:Protectai Modelscan H5py Optional
- Environment:Marker Inc Korea AutoRAG Korean NLP Dependencies
- Environment:Apache Flink Java Build Environment
- Environment:LaurentMazare Tch rs Libtorch Build Environment
- Environment:Langgenius Dify Docker Compose Environment
- Environment:Unslothai Unsloth Llama Cpp
- Environment:NVIDIA NeMo Curator Video Codec Stack
- Environment:ARISE Initiative Robosuite GPU Rendering
- Environment:Fede1024 Rust rdkafka CI Test Runner
- Environment:OpenRLHF OpenRLHF DeepSpeed Environment