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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 Diffusers LoRA Finetuning
- Workflow:Tensorflow Serving Kubernetes Deployment
- Workflow:Sktime Pytorch forecasting TFT Hyperparameter Optimization
- Workflow:Scikit learn contrib Imbalanced learn Ensemble Imbalanced Classification
- Workflow:Getgauge Taiko Network Request Interception
- Workflow:DataTalksClub Data engineering zoomcamp Spark Batch Processing
- Workflow:Microsoft Onnxruntime ORTModule Training
- Workflow:Axolotl ai cloud Axolotl Multimodal Vision Finetuning
- Workflow:Tensorflow Tfjs Pretrained Model Conversion And Inference
- Workflow:DistrictDataLabs Yellowbrick Model Selection and Tuning
Principles
- Principle:Apache Shardingsphere Compute Node Registration
- Principle:Vespa engine Vespa Embedding Generation
- Principle:Duckdb Duckdb Fast Number Parsing
- Principle:Microsoft Agent framework Human in the Loop Request
- Principle:Promptfoo Promptfoo Strategy Application
- Principle:Apache Spark Release Artifact Build
- Principle:SqueezeAILab ETS Score Aggregation
- Principle:Apache Shardingsphere Event Listener Filtering
- Principle:MarketSquare Robotframework browser Release Publication
- Principle:Turboderp org Exllamav2 Constrained Generation
Implementations
- Implementation:Hpcaitech ColossalAI Train ORPO Script
- Implementation:Intel Ipex llm NPU Model Convert
- Implementation:DevExpress Testcafe RequestHook TypeDefs
- Implementation:Huggingface Trl DPOTrainer Init Train
- Implementation:Scikit learn Scikit learn StandardScaler Init
- Implementation:Lance format Lance Java CreateIndexOp
- Implementation:Guardrails ai Guardrails Start Server
- Implementation:Langchain ai Langchain Chroma Max Marginal Relevance Search
- Implementation:Speechbrain Speechbrain Prepare UrbanSound8k
- Implementation:Openai Openai node Stable RealtimeBase
Heuristics
- Heuristic:Mistralai Client python Retry Backoff Strategy
- Heuristic:Microsoft BIPIA Delta Weight CPU Loading
- Heuristic:Mlc ai Web llm Tokenizer JSON Preference
- Heuristic:NVIDIA NeMo Aligner PPO Critic Warmup Tip
- Heuristic:Eric mitchell Direct preference optimization FSDP Mixed Precision BFloat16
- Heuristic:Volcengine Verl GPU Memory Utilization Tuning
- Heuristic:Getgauge Taiko Implicit Wait Tuning
- Heuristic:Anthropics Anthropic sdk python Model Deprecation Awareness
- Heuristic:OpenHands OpenHands Streamable HTTP Over SSE
- Heuristic:Open compass VLMEvalKit WORLD SIZE Unset For Model Building
Environments
- Environment:Vespa engine Vespa Docker OCI Container Runtime
- Environment:Openai Evals Optional Provider APIs
- Environment:Cohere ai Cohere python Cohere API Credentials
- Environment:Cleanlab Cleanlab Image Quality Dependencies
- Environment:Microsoft Playwright Node Runtime Environment
- Environment:Langfuse Langfuse S3 Compatible Storage
- Environment:ContextualAI HALOs CUDA 12 1 Training Environment
- Environment:Heibaiying BigData Notes Spark 2 4 Environment
- Environment:Spotify Luigi SQLAlchemy Database
- Environment:Alibaba ROLL Megatron Training Environment