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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:Tencent Ncnn Post Training Quantization
- Workflow:Microsoft BIPIA Black Box Defense Evaluation
- Workflow:Microsoft Agent framework Graph Based Workflow Execution
- Workflow:OpenRLHF OpenRLHF Knowledge Distillation
- Workflow:Mage ai Mage ai Building a New Destination Connector
- Workflow:Isaac sim IsaacGymEnvs RL Policy Training
- Workflow:Mlc ai Mlc llm Mobile Deployment
- Workflow:Facebookresearch Audiocraft MusicGen Training Pipeline
- Workflow:ClickHouse ClickHouse Packaging For Distribution
- Workflow:Huggingface Datatrove FineWeb Dataset Creation
Principles
- Principle:Eric mitchell Direct preference optimization Checkpoint Saving
- Principle:Openai Openai python Training Data Preparation
- Principle:Togethercomputer Together python Message Construction
- Principle:Tensorflow Tfjs Activation Functions
- Principle:Apache Hudi Bucket Assignment
- Principle:SeldonIO Seldon core Explainer Readiness Verification
- Principle:SqueezeAILab ETS Answer Extraction
- Principle:Openai Openai node Training Data Upload
- Principle:Isaac sim IsaacGymEnvs Runtime Randomization
- Principle:Apache Druid Spec Management Troubleshooting
Implementations
- Implementation:Kserve Kserve LLM Scheduler Config
- Implementation:Apache Shardingsphere StatisticsRefreshEngine Refresh
- Implementation:LaurentMazare Tch rs Tensor Display
- Implementation:Google deepmind Dm control Variation Deterministic
- Implementation:DistrictDataLabs Yellowbrick MissingDataVisualizer
- Implementation:Unstructured IO Unstructured Golden File Fixtures Local
- Implementation:Mlc ai Mlc llm GPT BigCode Model
- Implementation:Webdriverio Webdriverio Globals Types
- Implementation:Huggingface Datasets IterableDataset Map
- Implementation:Anthropics Anthropic sdk python MessageParam Accumulation
Heuristics
- Heuristic:Intel Ipex llm Llama Padding Token Workaround
- Heuristic:Google research Deduplicate text datasets HACKSIZE Overlap Buffer
- Heuristic:Pyro ppl Pyro Numerical Stability Patterns
- Heuristic:Predibase Lorax LoRA Kernel Selection By Rank
- Heuristic:Sktime Pytorch forecasting Encoder Decoder Length Limits
- Heuristic:Deepspeedai DeepSpeed ZeRO Pipeline Incompatibility
- Heuristic:Mage ai Mage ai HTTP Request Timeout Defaults
- Heuristic:Kubeflow Kubeflow Issue Routing To Sub Repos
- Heuristic:Apache Spark K8s Container Patterns
- Heuristic:Huggingface Trl QLoRA BF16 Adapter Casting
Environments
- Environment:HKUDS AI Trader API Credentials
- Environment:Shiyu coder Kronos PyTorch CUDA Environment
- Environment:Roboflow Rf detr Python GPU Environment
- Environment:Openclaw Openclaw State Directory And Credentials
- Environment:Microsoft Agent framework Core Package Dependencies
- Environment:Ray project Ray Docker GPU Environment
- Environment:PrefectHQ Prefect Prefect Server Database
- Environment:BerriAI Litellm Provider API Credentials
- Environment:Recommenders team Recommenders GPU CUDA Environment
- Environment:CrewAIInc CrewAI Python Runtime Environment