Main Page
27,667
Total Pages
1,118
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.
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:ClickHouse ClickHouse Running Stateless Tests
- Workflow:Deepset ai Haystack Document Preprocessing Pipeline
- Workflow:NVIDIA DALI Image Classification Training PyTorch
- Workflow:InternLM Lmdeploy VLM Inference Pipeline
- Workflow:AnswerDotAI RAGatouille Document Indexing And Search
- Workflow:Fede1024 Rust rdkafka Mock Cluster Testing
- Workflow:Cohere ai Cohere python Semantic Search With Rerank
- Workflow:Microsoft Semantic kernel Plugin Integration And Function Calling
- Workflow:DataTalksClub Data engineering zoomcamp Kestra ETL Pipeline
- Workflow:Allenai Open instruct SFT Finetuning
Principles
- Principle:Mistralai Client python SDK Installation
- Principle:Iamhankai Forest of Thought Argument Parsing
- Principle:Pytorch Serve DeepSpeed Inference
- Principle:Volcengine Verl Multi Turn Rollout
- Principle:Facebookresearch Habitat lab Rollout Collection and Training
- Principle:LMCache LMCache Prefill Decode Configuration
- Principle:PacktPublishing LLM Engineers Handbook Data Warehouse Portability
- Principle:Apache Kafka Cherry Pick Backport
- Principle:Scikit learn Scikit learn Score Distribution Analysis
- Principle:Ray project Ray Dependency Compilation
Implementations
- Implementation:Puppeteer Puppeteer Cdp Coverage
- Implementation:Kubeflow Pipelines Chicago Taxi Dataset Pipeline
- Implementation:Kubeflow Kubeflow Manifests Vs Packaged Decision
- Implementation:Microsoft DeepSpeedExamples Pipeline Parallelism Training
- Implementation:Dotnet Machinelearning FactorizationMachineCore
- Implementation:Facebookresearch Audiocraft StreamingModule
- Implementation:Sgl project Sglang Performance Dashboard App
- Implementation:LMCache LMCache Distributed Config
- Implementation:Openai Openai python Web Search Preview Tool
- Implementation:Mit han lab Llm awq Serve Controller
Heuristics
- Heuristic:Google research Deduplicate text datasets HACKSIZE Overlap Buffer
- Heuristic:Openai Openai node Warning Deprecated Beta Realtime
- Heuristic:Gretelai Gretel synthetics Batch Size Divisibility Constraints
- Heuristic:Duckdb Duckdb Unity Build Strategy
- Heuristic:Alibaba ROLL Gradient Checkpointing Recomputation
- Heuristic:Mlfoundations Open flamingo Gradient Clipping Max Norm
- Heuristic:Rapidsai Cuml Batch Size Memory Tradeoff
- Heuristic:Fastai Fastbook Progressive Resizing
- Heuristic:ContextualAI HALOs Batch Size Divisibility
- Heuristic:OpenRLHF OpenRLHF Value Head ZeRO3 Init Tip
Environments
- Environment:Mlc ai Mlc llm Metal macOS iOS Environment
- Environment:Webdriverio Webdriverio Node Runtime Environment
- Environment:FMInference FlexLLMGen NVMe Disk
- Environment:Fastai Fastbook CUDA GPU Environment
- Environment:Kubeflow Pipelines Kubernetes Cluster
- Environment:MaterializeInc Materialize Python CI Builder Runtime
- Environment:Mlflow Mlflow MLflow Server Environment
- Environment:Groq Groq python Python Groq SDK
- Environment:Intel Ipex llm XPU Finetuning Environment
- Environment:Kserve Kserve Python Runtime