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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:Apache Beam Portable Pipeline Submission
- Workflow:OWASP Www project top 10 for large language model applications Agentic Security Assessment
- Workflow:Isaac sim IsaacGymEnvs Domain Randomization Training
- Workflow:Openai Openai python Fine Tuning Job Management
- Workflow:Testtimescaling Testtimescaling github io GitHub Pages Course Progression
- Workflow:Google deepmind Dm control Multi Agent Soccer Setup
- Workflow:Microsoft Semantic kernel Process Orchestration
- Workflow:Arize ai Phoenix Prompt Management Pipeline
- Workflow:Heibaiying BigData Notes Hadoop MapReduce Word Count
- Workflow:Lucidrains X transformers DPO Preference Alignment
Principles
- Principle:AUTOMATIC1111 Stable diffusion webui Postprocessing script execution
- Principle:OpenGVLab InternVL DPO Data Collation
- Principle:Volcengine Verl VLM Model Configuration
- Principle:Risingwavelabs Risingwave CDC Source Streaming
- Principle:Explodinggradients Ragas Multi Turn Evaluation Schema
- Principle:Princeton nlp SimPO Environment Setup
- Principle:Deepseek ai Janus Model and Processor Loading
- Principle:LMCache LMCache NIXL KV Transfer
- Principle:Neuml Txtai Late Interaction Retrieval
- Principle:Ray project Ray Cross Language Deserialization
Implementations
- Implementation:SeldonIO Seldon core Seldon Pipeline Infer Monitoring
- Implementation:Mlc ai Mlc llm Model Metadata Impl
- Implementation:Facebookresearch Habitat lab Baselines Common Utils
- Implementation:Open compass VLMEvalKit Use Custom Prompt
- Implementation:Evidentlyai Evidently Legacy OpenAI Feature
- Implementation:Sktime Pytorch forecasting RecurrentNetwork
- Implementation:Online ml River Metrics AdjustedRand
- Implementation:Ggml org Llama cpp KV Cache
- Implementation:Mlc ai Web llm Response Format
- Implementation:Ray project Ray AutoscalingConfig Setup
Heuristics
- Heuristic:ARISE Initiative Robosuite XML Reset Method Tradeoff
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Before Split Leakage
- Heuristic:Princeton nlp Tree of thought llm Functools Partial Model Binding
- Heuristic:Protectai Modelscan Stricter Zip Detection
- Heuristic:HKUDS AI Trader Sortino Ratio Capping
- Heuristic:Webdriverio Webdriverio Default Timeout Configuration
- Heuristic:PacktPublishing LLM Engineers Handbook Token Window Safety Margin
- Heuristic:Bigscience workshop Petals Short Inference Pool Merging
- Heuristic:Ray project Ray NaN Score Filtering In PBT
- Heuristic:Mit han lab Llm awq GPU Memory Management Patterns
Environments
- Environment:Apache Airflow Python Runtime Environment
- Environment:Nightwatchjs Nightwatch Android Mobile Testing
- Environment:Mlc ai Web llm WebGPU Browser Runtime
- Environment:Kserve Kserve Cert Manager
- Environment:Huggingface Alignment handbook Python TRL
- Environment:Tensorflow Serving Docker Runtime Environment
- Environment:Mistralai Client python Agents Environment
- Environment:Apache Airflow Kubernetes Helm Environment
- Environment:BerriAI Litellm Observability Stack
- Environment:Interpretml Interpret Visualization Environment