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:Huggingface Transformers Model Benchmarking
- Workflow:ARISE Initiative Robomimic Trained Policy Evaluation
- Workflow:Microsoft Playwright Browser automation CLI
- Workflow:Spcl Graph of thoughts GoT Keyword Counting Pipeline
- Workflow:Run llama Llama index Evaluation Pipeline
- Workflow:VainF Torch Pruning CNN Pruning
- Workflow:Mistralai Client python Finetuning Job Management
- Workflow:Apache Hudi Flink MOR Compaction
- Workflow:Apache Beam Twister2 Batch Execution
- Workflow:Bitsandbytes foundation Bitsandbytes 8bit LLM Int8 Inference
Principles
- Principle:Neuml Txtai Base Model Configuration
- Principle:Alibaba ROLL MCoreAdapter DPO Training
- Principle:Spotify Luigi Dependency Chaining
- Principle:ARISE Initiative Robosuite Robot Variant Composition
- Principle:Microsoft LoRA HF Trainer LoRA Training
- Principle:Apache Airflow Scheduling Configuration
- Principle:Microsoft Playwright Define Agent Actions with Perform
- Principle:Microsoft Agent framework Approval Request Presentation
- Principle:Cypress io Cypress Test Suite Execution
- Principle:Puppeteer Puppeteer Browser Version Resolution
Implementations
- Implementation:Apache Shardingsphere YamlEngine Unmarshal
- Implementation:TobikoData Sqlmesh Model Artifact
- Implementation:ARISE Initiative Robosuite Load Composite Controller Config
- Implementation:Huggingface Diffusers Enable Model Cpu Offload
- Implementation:Allenai Open instruct DPO ExperimentConfig
- Implementation:EvolvingLMMs Lab Lmms eval Cli Evaluate Model Test
- Implementation:Open compass VLMEvalKit TextMCQDataset
- Implementation:Haifengl Smile BitString
- Implementation:Openai Openai python Types Package Exports
- Implementation:CrewAIInc CrewAI RAG JSON Loader
Heuristics
- Heuristic:Getgauge Taiko Element Actionability Checks
- Heuristic:NVIDIA TransformerEngine Sequence Length Alignment
- Heuristic:Datahub project Datahub Batch Size And Timeout Tuning
- Heuristic:Alibaba ROLL Reward Clipping Normalization
- Heuristic:Dagster io Dagster Mandatory Ruff Formatting
- Heuristic:Ray project Ray Serve Concurrency And Backpressure
- Heuristic:Mlflow Mlflow Batch Logging Size Limits
- Heuristic:Explodinggradients Ragas LLM Temperature Defaults
- Heuristic:Fastai Fastbook Random Forest Defaults
- Heuristic:PeterL1n BackgroundMattingV2 Data Augmentation Strategy
Environments
- Environment:Togethercomputer Together python Fine Tuning Data Requirements
- Environment:Huggingface Datasets Lance Dependencies
- Environment:DistrictDataLabs Yellowbrick Optional NLP Dependencies
- Environment:Huggingface Datatrove Slurm Cluster Environment
- Environment:Duckdb Duckdb Release Publishing Env
- Environment:Arize ai Phoenix Python Runtime
- Environment:Mit han lab Llm awq Python Runtime Environment
- Environment:Eric mitchell Direct preference optimization PyTorch CUDA
- Environment:Google deepmind Mujoco Python Bindings Environment
- Environment:NVIDIA NeMo Aligner TensorRT LLM Acceleration Environment