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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 Kubeflow Platform Deployment
- Workflow:Microsoft BIPIA White Box Defense Finetuning
- Workflow:Haotian liu LLaVA Single Image Inference
- Workflow:Microsoft Onnxruntime On Device Training
- Workflow:Teamcapybara Capybara Custom Selector Definition
- Workflow:Iamhankai Forest of Thought FoT Benchmark Evaluation
- Workflow:Princeton nlp SimPO On Policy Data Generation
- Workflow:Langchain ai Langgraph Persistence and Memory Setup
- Workflow:Kserve Kserve Canary Rollout Deployment
- Workflow:Open compass VLMEvalKit Video Benchmark Evaluation
Principles
- Principle:ClickHouse ClickHouse Fundamental Type Aliases
- Principle:SeldonIO Seldon core HuggingFace Model Deployment And Verification
- Principle:ClickHouse ClickHouse Remote Syslog Logging
- Principle:OpenRLHF OpenRLHF Direct Preference Optimization
- Principle:Teamcapybara Capybara Session Cleanup
- Principle:Haotian liu LLaVA Cloud Hosted Inference
- Principle:CrewAIInc CrewAI Hierarchical Crew Assembly
- Principle:Puppeteer Puppeteer Device Emulation
- Principle:Ggml org Ggml Quantization API
- Principle:SeleniumHQ Selenium Grid Server Building
Implementations
- Implementation:Microsoft Onnxruntime CPU MpiRecv
- Implementation:Alibaba MNN RapidJSON Core
- Implementation:Elevenlabs Elevenlabs python VoiceSamplePreviewResponseModel
- Implementation:Zai org CogVideo LLM Flux CogVideoX Pipeline
- Implementation:Datajuicer Data juicer NaiveGrouper
- Implementation:Microsoft Onnxruntime CPU FakeQuant
- Implementation:Mistralai Client python Azure Models Init
- Implementation:Huggingface Trl HfArgumentParser PPOConfig
- Implementation:Online ml River Tree LASTClassifier
- Implementation:Online ml River Optim AdaBound
Heuristics
- Heuristic:Isaac sim IsaacGymEnvs GPU Pipeline Selection
- Heuristic:Scikit learn Scikit learn Convergence Warning Handling
- Heuristic:Gretelai Gretel synthetics Gumbel Softmax NaN Retry
- Heuristic:Protectai Llm guard Fail Fast Early Exit
- Heuristic:ThreeSR Awesome Inference Time Scaling API Rate Limiting Tip
- Heuristic:Facebookresearch Audiocraft Audio Normalization Strategies
- Heuristic:Scikit learn Scikit learn Random State Management
- Heuristic:Avhz RustQuant MC Parallel Path Threshold
- Heuristic:Mlfoundations Open flamingo Deterministic Shard Shuffling
- Heuristic:Evidentlyai Evidently Drift Detection Thresholds
Environments
- Environment:Ggml org Llama cpp Vulkan GPU Environment
- Environment:Marker Inc Korea AutoRAG Korean NLP Dependencies
- Environment:Protectai Llm guard API Server Deployment
- Environment:Princeton nlp Tree of thought llm Python OpenAI
- Environment:Sdv dev SDV Python Runtime
- Environment:Apache Druid Web Console Development
- Environment:Apache Paimon Optional Extensions
- Environment:EvolvingLMMs Lab Lmms eval Python Runtime Environment
- Environment:BerriAI Litellm Observability Stack
- Environment:Scikit learn contrib Imbalanced learn Keras TensorFlow