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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:Bitsandbytes foundation Bitsandbytes 8bit Optimizer Training
- Workflow:NVIDIA NeMo Aligner Supervised Fine Tuning
- Workflow:Apache Hudi Flink MOR Compaction
- Workflow:Anthropics Anthropic sdk python Structured Output Extraction
- Workflow:Spcl Graph of thoughts GoT Sorting Pipeline
- Workflow:Fastai Fastbook Collaborative Filtering
- Workflow:Huggingface Trl Supervised Finetuning
- Workflow:ARISE Initiative Robosuite Domain Randomization Training
- Workflow:Hiyouga LLaMA Factory Model Inference and Serving
- Workflow:Haosulab ManiSkill Imitation Learning Pipeline
Principles
- Principle:Hpcaitech ColossalAI Sequence Packing Dataset
- Principle:Apache Hudi Query Type Definition
- Principle:Eventual Inc Daft Column Input Normalization
- Principle:Guardrails ai Guardrails RailSpecification
- Principle:Microsoft LoRA NLU Environment Setup
- Principle:Unslothai Unsloth MoE Kernel Autotuning
- Principle:PeterL1n BackgroundMattingV2 Dataset composition
- Principle:FlowiseAI Flowise Speech Processing
- Principle:Apache Beam Classpath Packaging
- Principle:Microsoft Onnxruntime Distributed Training Loop
Implementations
- Implementation:PrefectHQ Prefect Materialize Decorator
- Implementation:Onnx Onnx Checker Cpp API
- Implementation:Infiniflow Ragflow Config Utils
- Implementation:Lance format Lance PrimitiveBlobDecoding
- Implementation:Kserve Kserve LLMIsvc Manager Deployment
- Implementation:Open compass VLMEvalKit VGRPBench Skyscraper
- Implementation:Isaac sim IsaacGymEnvs Load Asset Meshes In Warp
- Implementation:Evidentlyai Evidently LLM Judge Descriptors
- Implementation:Kserve Kserve LLM Prefill Template
- Implementation:Deepspeedai DeepSpeed PipelineEngine Init
Heuristics
- Heuristic:Fede1024 Rust rdkafka Partitioner Must Not Block
- Heuristic:Princeton nlp SimPO BOS Token Handling
- Heuristic:Cleanlab Cleanlab Label Quality Scoring Method Selection
- Heuristic:Mit han lab Llm awq GPU Memory Management Patterns
- Heuristic:Gretelai Gretel synthetics Gumbel Softmax NaN Retry
- Heuristic:Deepseek ai Janus Bfloat16 Dtype Selection
- Heuristic:Datahub project Datahub Docker Memory Preflight
- Heuristic:Unstructured IO Unstructured Golden File Diff
- Heuristic:Onnx Onnx Opset Version Selection
- Heuristic:Vespa engine Vespa Maven Parallel Build Optimization
Environments
- Environment:Cypress io Cypress Linux Display Server
- Environment:Explodinggradients Ragas LLM Provider Environment
- Environment:Openai Evals Optional Provider APIs
- Environment:EvolvingLMMs Lab Lmms eval GPU Compute Environment
- Environment:Hiyouga LLaMA Factory Optional Inference Backends
- Environment:Facebookresearch Habitat lab SLURM Distributed Environment
- Environment:Sgl project Sglang Prometheus
- Environment:Testtimescaling Testtimescaling github io Python 3 Runtime
- Environment:Apache Paimon Python Core Runtime
- Environment:Zai org CogVideo SAT Framework Environment