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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:Helicone Helicone Local Development Setup
- Workflow:Apache Shardingsphere Cluster Mode Initialization
- Workflow:SeldonIO Seldon core HuggingFace Model Serving
- Workflow:Eric mitchell Direct preference optimization Custom Dataset Integration
- Workflow:LaurentMazare Tch rs Transfer Learning
- Workflow:Datajuicer Data juicer Distributed Ray Processing
- Workflow:Vibrantlabsai Ragas Prompt Optimization
- Workflow:Protectai Llm guard Scanner Benchmarking
- Workflow:Mlc ai Web llm Chrome Extension Integration
- Workflow:Turboderp org Exllamav2 EXL2 Model Conversion
Principles
- Principle:Iterative Dvc Experiment Pipeline Execution
- Principle:Treeverse LakeFS Java SDK Client Configuration
- Principle:FlowiseAI Flowise Edge Connection
- Principle:Romsto Speculative Decoding Ngram Assisted Speculative Decoding
- Principle:DataExpert io Data engineer handbook DataFrame Write To Table
- Principle:Axolotl ai cloud Axolotl Package Build Configuration
- Principle:Microsoft Playwright Open Trace Viewer
- Principle:Confident ai Deepeval Package Constants Management
- Principle:NVIDIA NeMo Aligner SteerLM Data Preparation
- Principle:Pola rs Polars Window Function Application
Implementations
- Implementation:Apache Flink SplitsAddition
- Implementation:Online ml River FeatureExtraction PolynomialExtender
- Implementation:Sdv dev SDV BaseSynthesizer Save Load
- Implementation:Open compass VLMEvalKit Cosmos
- Implementation:Run llama Llama index SentenceEmbeddingOptimizer
- Implementation:OpenHands OpenHands OrgService Get Owner Role
- Implementation:NVIDIA TransformerEngine NVFP4Tensor
- Implementation:Ollama Ollama Imagegen ZImage Transformer
- Implementation:Openai Evals MMMU Eval Config
- Implementation:Google deepmind Mujoco Engine Inverse
Heuristics
- Heuristic:Datahub project Datahub Validation Across All APIs
- Heuristic:DataTalksClub Data engineering zoomcamp CSV Chunk Size Optimization
- Heuristic:Cleanlab Cleanlab Object Detection Scoring Constants
- Heuristic:Elevenlabs Elevenlabs python VAD vs Manual Commit Strategy
- Heuristic:Deepseek ai Janus CFG Weight Tuning
- Heuristic:NVIDIA NeMo Curator Deduplication Blocksize Tuning
- Heuristic:SqueezeAILab ETS Embedding Model GPU Collocation
- Heuristic:Unslothai Unsloth Gradient Accumulation Accuracy
- Heuristic:Predibase Lorax CUDA Graph Batch Size Caching
- Heuristic:Cypress io Cypress V8 Snapshot Memory
Environments
- Environment:Confident ai Deepeval Python 3 9 Runtime
- Environment:Sgl project Sglang Web
- Environment:Helicone Helicone Cloudflare Workers Runtime
- Environment:Intel Ipex llm NPU Cpp Environment
- Environment:EvolvingLMMs Lab Lmms eval API Credentials Environment
- Environment:Vllm project Vllm CUDA GPU Runtime
- Environment:Langchain ai Langchain Python 3 10 Runtime
- Environment:Kserve Kserve Kubernetes Cluster
- Environment:Datahub project Datahub Frontend Build
- Environment:VainF Torch Pruning CUDA GPU Benchmarking