Main Page
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.
Connect your AI coding agent. Plug Leeroopedia into your favorite coding agent, and let it build robust AI/ML systems autonomously:
- SuperML plugin — converts your AI coding agent into an expert ML engineer with agentic memory
- Leeroopedia MCP — search over best-practices and skills of ML/AI
- Kapso — experimentation platform for autonomous AI/ML software building
Browse by Category
| 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:Langchain ai Langgraph Functional API Workflow
- Workflow:Volcengine Verl Supervised Fine Tuning
- Workflow:Triton inference server Server Custom Container Build
- Workflow:SqueezeAILab ETS ETS Experiment Pipeline
- Workflow:Pola rs Polars Time Series Analysis
- Workflow:Huggingface Datasets Dataset Preprocessing
- Workflow:CarperAI Trlx RLHF Dialogue Alignment
- Workflow:Apache Spark Release Process
- Workflow:Google deepmind Dm control Composer Environment Building
- Workflow:NVIDIA DALI Image Preprocessing Pipeline
Principles
- Principle:ARISE Initiative Robosuite Gripper Model Design
- Principle:Huggingface Datasets Streaming Take
- Principle:Teamcapybara Capybara Server Boot
- Principle:LaurentMazare Tch rs Feature Extraction
- Principle:Huggingface Transformers Commit Bisection Debugging
- Principle:ARISE Initiative Robomimic Dataset Loading
- Principle:Apache Dolphinscheduler Client Connection Pattern
- Principle:LLMBook zh LLMBook zh github io BPE Tokenization
- Principle:FMInference FlexLLMGen Inference Checkpoint Loading
- Principle:Vespa engine Vespa Cloud Deployment Context
Implementations
- Implementation:MaterializeInc Materialize CLI Workload Anonymize
- Implementation:OpenGVLab InternVL LazySupervisedDataset
- Implementation:NVIDIA NeMo Curator PairwiseStage
- Implementation:Spotify Luigi ExternalTask LocalTarget
- Implementation:FlowiseAI Flowise ExecutionsListTable
- Implementation:Apache Druid HelperTable
- Implementation:EvolvingLMMs Lab Lmms eval Padding Requests
- Implementation:Huggingface Diffusers Setup Package Configuration
- Implementation:Ray project Ray Compile Pip Dependencies
- Implementation:Langgenius Dify Debug Models
Heuristics
- Heuristic:Tensorflow Tfjs Backend Selection Strategy
- Heuristic:Langchain ai Langchain Warning Deprecated AnthropicLLM
- Heuristic:Norrrrrrr lyn WAInjectBench Union Ensemble Maximize Recall
- Heuristic:LLMBook zh LLMBook zh github io BF16 Mixed Precision Default
- Heuristic:Allenai Open instruct Gradient Clipping Norm
- Heuristic:Apache Spark Serialization Optimization
- Heuristic:OpenRLHF OpenRLHF Off Policy IS Correction Tip
- Heuristic:Ggml org Llama cpp Warning Deprecated Legacy Converters
- Heuristic:Lucidrains X transformers MaskGIT Generation Tuning
- Heuristic:Triton inference server Server Server Default Configuration
Environments
- Environment:Kserve Kserve VLLM Runtime
- Environment:Neuml Txtai Optional Extras Dependencies
- Environment:Vllm project Vllm CUDA
- Environment:Unstructured IO Unstructured Ingest CLI
- Environment:Vllm project Vllm Distributed
- Environment:Eventual Inc Daft AI Provider Dependencies
- Environment:Ggml org Ggml Metal GPU Environment
- Environment:Infiniflow Ragflow Python Runtime
- Environment:LMCache LMCache VLLM Serving Engine
- Environment:AnswerDotAI RAGatouille GPU CUDA Runtime