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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:Huggingface Optimum Model Export
- Workflow:Openai Openai python Embeddings Generation
- Workflow:Obss Sahi COCO Dataset Slicing
- Workflow:Zai org CogVideo Video Editing DDIM Inversion
- Workflow:Heibaiying BigData Notes HBase Java CRUD Operations
- Workflow:Microsoft Onnxruntime On Device Training
- Workflow:Evidentlyai Evidently Monitoring Dashboard Setup
- Workflow:EvolvingLMMs Lab Lmms eval Custom Model Integration
- Workflow:Mistralai Client python OCR Document Processing
- Workflow:Mit han lab Llm awq AWQ Model Quantization
Principles
- Principle:Online ml River Anomaly Scoring Interface
- Principle:Interpretml Interpret Rule Based Classification
- Principle:Heibaiying BigData Notes MapReduce Reduce Phase
- Principle:Google deepmind Dm control Terrain Arena Building
- Principle:Intel Ipex llm Lookahead Decoding
- Principle:Google deepmind Dm control Domain Randomization
- Principle:Scikit learn Scikit learn Metric Visualization
- Principle:Marker Inc Korea AutoRAG Pipeline Runner Init
- Principle:Huggingface Datasets Disk Persistence
- Principle:DataExpert io Data engineer handbook Streaming ETL Pipeline
Implementations
- Implementation:ClickHouse ClickHouse Poco IPAddress
- Implementation:FlagOpen FlagEmbedding LLM Embedder Dense Model
- Implementation:Unstructured IO Unstructured Measure Execution Time
- Implementation:Run llama Llama index StructuredLLM
- Implementation:VainF Torch Pruning Node
- Implementation:Hpcaitech ColossalAI ConversationSummaryMemory
- Implementation:NVIDIA DALI DALIGenericIterator
- Implementation:Hiyouga LLaMA Factory KT Engine
- Implementation:Cohere ai Cohere python ApiError
- Implementation:Eric mitchell Direct preference optimization Canonical Dataset Format
Heuristics
- Heuristic:Scikit learn Scikit learn Convergence Warning Handling
- Heuristic:Volcengine Verl Layered Summon Memory Tradeoff
- Heuristic:Mlc ai Web llm Grammar Matcher Reuse
- Heuristic:Vibrantlabsai Ragas Temperature Sampling Strategy
- Heuristic:Deepset ai Haystack Logging Auto Detection
- Heuristic:Rapidsai Cuml Dask Data Partitioning
- Heuristic:Axolotl ai cloud Axolotl Gradient Checkpointing Reentrant Rules
- Heuristic:Huggingface Datasets Parquet Shard Sizing
- Heuristic:Danijar Dreamerv3 Replay Context Carry Init
- Heuristic:Avdvg InjectGuard Embedding Normalization Cosine Equivalence
Environments
- Environment:Huggingface Trl Python Core Dependencies
- Environment:Apache Dolphinscheduler Netty Runtime
- Environment:Cypress io Cypress Node Runtime Environment
- Environment:Axolotl ai cloud Axolotl Python Runtime
- Environment:Eric mitchell Direct preference optimization PyTorch CUDA
- Environment:Lm sys FastChat Python Core Dependencies
- Environment:Confident ai Deepeval Python 3 9 Runtime
- Environment:SeleniumHQ Selenium Grid Deployment Environment
- Environment:Pola rs Polars Rust Build Environment
- Environment:Cypress io Cypress Browser Requirements