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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:Trailofbits Fickling PyTorch Payload Injection
- Workflow:Tensorflow Serving Model Version Management
- Workflow:CARLA simulator Carla Building from Source
- Workflow:Explodinggradients Ragas LLM Benchmarking
- Workflow:Datahub project Datahub Docker Quickstart Deployment
- Workflow:Promptfoo Promptfoo Custom Provider Integration
- Workflow:Microsoft Autogen Studio Team Deployment
- Workflow:NVIDIA NeMo Aligner Reward Model Training
- Workflow:FlowiseAI Flowise Evaluation Pipeline
- Workflow:DataTalksClub Data engineering zoomcamp dlt Data Ingestion
Principles
- Principle:Huggingface Transformers Benchmark Statistics
- Principle:Microsoft Autogen Agent Instantiation
- Principle:FlagOpen FlagEmbedding Contrastive Embedding Training
- Principle:Avhz RustQuant Root Finding
- Principle:DistrictDataLabs Yellowbrick Residual Analysis
- Principle:Sgl project Sglang Batch Text Generation
- Principle:ClickHouse ClickHouse SIMD Memory Comparison
- Principle:Axolotl ai cloud Axolotl Experiment Tracking Integration
- Principle:Turboderp org Exllamav2 Vision Tower Loading
- Principle:Microsoft Agent framework Sequential Orchestration
Implementations
- Implementation:Apache Shardingsphere DatabaseMetaDataManager Manage
- Implementation:Risingwavelabs Risingwave BackPressure Utils
- Implementation:ARISE Initiative Robosuite CompositionalRobots
- Implementation:Vllm project Vllm CPU Types ARM
- Implementation:Nightwatchjs Nightwatch RunTests API
- Implementation:Facebookresearch Audiocraft AudioGen get pretrained
- Implementation:Vllm project Vllm Pydantic Schema Generation
- Implementation:Mlc ai Mlc llm GPT BigCode Model
- Implementation:Pyro ppl Pyro TraceTMC ELBO
- Implementation:FlowiseAI Flowise OnAgentflowNodeStatusUpdate
Heuristics
- Heuristic:Apache Paimon File Sizing and Split Planning
- Heuristic:FMInference FlexLLMGen Offloading Percent Tuning
- Heuristic:Microsoft Autogen Warning Deprecated JSON Env Files
- Heuristic:Apache Kafka Log4j Migration Compatibility
- Heuristic:Langchain ai Langgraph Recursion Limit Tuning
- Heuristic:Mbzuai oryx Awesome LLM Post training Depth Limit Recursion At 2
- Heuristic:Volcengine Verl Sequence Length Balancing
- Heuristic:FlowiseAI Flowise Edge Connection Type Matching
- Heuristic:Haosulab ManiSkill Num Envs Backend Selection
- Heuristic:DataExpert io Data engineer handbook Flink Checkpointing Interval Tuning
Environments
- Environment:Ggml org Ggml Metal GPU Environment
- Environment:ArroyoSystems Arroyo Webui Runtime
- Environment:Lm sys FastChat LoRA QLoRA Training Environment
- Environment:Mit han lab Llm awq Flash Attention Environment
- Environment:Cypress io Cypress Node Runtime Environment
- Environment:Datahub project Datahub Docker Runtime
- Environment:Predibase Lorax Python Server Dependencies
- Environment:Vllm project Vllm Buildkite
- Environment:Vibrantlabsai Ragas Optional NLP Metrics Environment
- Environment:Cypress io Cypress Linux Display Server