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Workflows
7,697
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 Mlc llm Mobile Deployment
- Workflow:Openai Openai python Chat Completion
- Workflow:Langchain ai Langgraph Building a Stateful Graph
- Workflow:Google deepmind Mujoco GPU batched simulation MJX
- Workflow:Langgenius Dify Workflow Builder and Execution
- Workflow:Google deepmind Mujoco Interactive simulation
- Workflow:LMCache LMCache Disaggregated Prefill
- Workflow:Dotnet Machinelearning GenAI Causal LM Inference
- Workflow:Haosulab ManiSkill Sim2Real Deployment
- Workflow:Tencent Ncnn Post Training Quantization
Principles
- Principle:Microsoft Semantic kernel OpenAPI Plugin Import
- Principle:Allenai Open instruct vLLM Async Generation
- Principle:Scikit learn Scikit learn Bayesian Regression
- Principle:ArroyoSystems Arroyo Job Lifecycle
- Principle:CARLA simulator Carla Recording Finalization
- Principle:Microsoft Semantic kernel Streaming Response
- Principle:Ggml org Ggml Neural Network Graph Building
- Principle:Mlflow Mlflow Production Deployment
- Principle:Langchain ai Langgraph UI Component Management
- Principle:Marker Inc Korea AutoRAG Evaluator Initialization
Implementations
- Implementation:Microsoft Agent framework AgentExecutor Init
- Implementation:NVIDIA TransformerEngine JAX LayerNorm
- Implementation:Langfuse Langfuse PNPM Lockfile
- Implementation:Google deepmind Dm control MJCF Attach
- Implementation:Evidentlyai Evidently Task Configuration Classes
- Implementation:Nightwatchjs Nightwatch Session Cleanup API
- Implementation:Huggingface Datasets IterableDataset Take
- Implementation:DataExpert io Data engineer handbook Do player scd transformation
- Implementation:Open compass VLMEvalKit ImageMTDataset
- Implementation:Openai Openai agents python Runner Run Streamed
Heuristics
- Heuristic:Huggingface Datasets Batch Size Optimization
- Heuristic:Openai Evals Thread Tuning
- Heuristic:Princeton nlp Tree of thought llm Ad Hoc Value Map Scoring
- Heuristic:FlowiseAI Flowise Heap Memory Configuration
- Heuristic:Mit han lab Llm awq Skip QK Projection Clipping
- Heuristic:Sgl project Sglang Chunked Prefill OOM Prevention
- Heuristic:CarperAI Trlx Reward Model Layer Freezing
- Heuristic:Cypress io Cypress Global Install Warning
- Heuristic:Google research Deduplicate text datasets HACKSIZE Overlap Buffer
- Heuristic:Apache Druid Query Error Suggestion Patterns
Environments
- Environment:Haifengl Smile Quarkus Serve Environment
- Environment:PacktPublishing LLM Engineers Handbook Unsloth Finetuning Environment
- Environment:LMCache LMCache Python Runtime
- Environment:Intel Ipex llm NPU Cpp Environment
- Environment:InternLM Lmdeploy Build From Source
- Environment:EvolvingLMMs Lab Lmms eval API Credentials Environment
- Environment:Mbzuai oryx Awesome LLM Post training Git CLI
- Environment:Vespa engine Vespa Java 17 Build Runtime
- Environment:Zai org CogVideo SAT Framework Environment
- Environment:Apache Flink Node Build Environment