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:Fastai Fastbook NLP Text Classification
- Workflow:Run llama Llama index OpenAI LLM Finetuning
- Workflow:Sdv dev SDV Sequential data synthesis
- Workflow:DistrictDataLabs Yellowbrick Regression Model Evaluation
- Workflow:Ucbepic Docetl YAML Pipeline Execution
- Workflow:Openai Openai agents python Human In The Loop Approval
- Workflow:Norrrrrrr lyn WAInjectBench LLaVA Finetuning
- Workflow:Arize ai Phoenix Span Annotation Pipeline
- Workflow:Arize ai Phoenix Dataset and Experiment Lifecycle
- Workflow:OpenGVLab InternVL Multi Stage Pretraining
Principles
- Principle:Langgenius Dify NavigationPatterns
- Principle:Google deepmind Mujoco Resource Provider
- Principle:Astronomer Astronomer cosmos Watcher Producer Consumer Execution
- Principle:MaterializeInc Materialize Deployment Configuration Update
- Principle:Ggml org Llama cpp Inference Context Creation
- Principle:Zai org CogVideo Parallel Video Generation
- Principle:Langchain ai Langgraph Runtime Config Access
- Principle:Speechbrain Speechbrain Whisper Model Loading
- Principle:Tensorflow Tfjs Fine Tuning
- Principle:Cleanlab Cleanlab Synthetic Noise Generation
Implementations
- Implementation:Lance format Lance JNI Traits
- Implementation:Confident ai Deepeval Evaluate Trace
- Implementation:Tensorflow Serving SavedModel Download
- Implementation:Scikit learn Scikit learn SupervisedClusterMetrics
- Implementation:Open compass VLMEvalKit Kosmos2
- Implementation:Guardrails ai Guardrails Text2Sql
- Implementation:MaterializeInc Materialize Cut Release Console
- Implementation:Online ml River Optim SGD
- Implementation:Open compass VLMEvalKit Use Custom Prompt
- Implementation:EvolvingLMMs Lab Lmms eval Gather Object
Heuristics
- Heuristic:Ggml org Llama cpp Quantization Quality Tips
- Heuristic:SeldonIO Seldon core Model Load Timeout Tip
- Heuristic:Tensorflow Tfjs Memory Management With Tidy
- Heuristic:Google research Deduplicate text datasets Parallel Job Scaling By Data Size
- Heuristic:Cleanlab Cleanlab Confident Threshold Heuristic
- Heuristic:Openai Openai python Fine Tuning Data Preparation Tips
- Heuristic:Eric mitchell Direct preference optimization FSDP Mixed Precision BFloat16
- Heuristic:BerriAI Litellm Batch Size Flush Interval Tuning
- Heuristic:Unslothai Unsloth VLLM Memory Utilization
- Heuristic:OpenRLHF OpenRLHF Off Policy IS Correction Tip
Environments
- Environment:Cleanlab Cleanlab Python Core Environment
- Environment:Langchain ai Langchain OpenAI API Credentials
- Environment:Kubeflow Kubeflow Python KFP SDK Environment
- Environment:Turboderp org Exllamav2 Build Toolchain
- Environment:Microsoft DeepSpeedExamples SuperOffload Runtime
- Environment:Mlc ai Mlc llm Python Serving Environment
- Environment:Pola rs Polars GPU Execution Environment
- Environment:Neuml Txtai Docker Deployment Environment
- Environment:Protectai Modelscan Python Core Runtime
- Environment:Googleapis Python genai Python 3 10 SDK Runtime