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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:Kubeflow Pipelines XGBoost Training Pipeline
- Workflow:Nautechsystems Nautilus trader Data loading and cataloging
- Workflow:AnswerDotAI RAGatouille In Memory Retrieval
- Workflow:Openclaw Openclaw Plugin And Skill Extension
- Workflow:Hiyouga LLaMA Factory DPO Preference Alignment
- Workflow:Apache Spark Application Submission
- Workflow:Groq Groq python Batch Processing
- Workflow:EvolvingLMMs Lab Lmms eval Custom Task Creation
- Workflow:AUTOMATIC1111 Stable diffusion webui Textual inversion training
- Workflow:Huggingface Transformers PEFT Adapter Integration
Principles
- Principle:ARISE Initiative Robosuite Joint Velocity Control
- Principle:Helicone Helicone Provider Communication
- Principle:Haotian liu LLaVA Checkpoint Extraction
- Principle:ChenghaoMou Text dedup Bloom Filter Deduplication
- Principle:Mlflow Mlflow Container Orchestration
- Principle:Mit han lab Llm awq Fused Normalization
- Principle:Princeton nlp SimPO Dataset Loading and Mixing
- Principle:MaterializeInc Materialize Randomized Chaos Testing
- Principle:Google research Deduplicate text datasets Byte Range Removal
- Principle:NVIDIA NeMo Curator File Partitioning
Implementations
- Implementation:Googleapis Python genai CreateTuningJobConfig Setup
- Implementation:EvolvingLMMs Lab Lmms eval Get Split Zip
- Implementation:Unslothai Unsloth GEMM Kernel Tuning
- Implementation:Bentoml BentoML Environment Types
- Implementation:Iterative Dvc Stage Run
- Implementation:TobikoData Sqlmesh ModuleNavigation
- Implementation:Langfuse Langfuse ScheduleObservationEvals
- Implementation:Gretelai Gretel synthetics ACTGAN Fit
- Implementation:BerriAI Litellm Cooldown Cache
- Implementation:Infiniflow Ragflow DataflowResultHooks
Heuristics
- Heuristic:Fastai Fastbook Learning Rate Finder Rule
- Heuristic:Unstructured IO Unstructured Golden File Diff
- Heuristic:Anthropics Anthropic sdk python Model Deprecation Awareness
- Heuristic:Dagster io Dagster Batch Size Tuning
- Heuristic:Bitsandbytes foundation Bitsandbytes Compute Dtype Mismatch Warning
- Heuristic:Cohere ai Cohere python Tokenizer Cache With TTL
- Heuristic:OpenGVLab InternVL Loss Reduction Strategy
- Heuristic:Recommenders team Recommenders Test Timing Budgets
- Heuristic:Iterative Dvc YAML Dual Parser Strategy
- Heuristic:Haifengl Smile BFGS Convergence Tuning
Environments
- Environment:Unstructured IO Unstructured Profiling Tools
- Environment:Mlc ai Mlc llm CUDA GPU Environment
- Environment:SeldonIO Seldon core GPU Inference Environment
- Environment:Run llama Llama index Python LlamaIndex Core
- Environment:Zai org CogVideo Diffusers Inference Environment
- Environment:Hiyouga LLaMA Factory Distributed Training Environment
- Environment:Liu00222 Open Prompt Injection CUDA Environment
- Environment:Recommenders team Recommenders Spark Environment
- Environment:Bigscience workshop Petals Python Transformers
- Environment:Apache Spark Kubernetes Runtime