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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:Googleapis Python genai Function Calling and Tools
- Workflow:Togethercomputer Together python Image Generation
- Workflow:OpenRLHF OpenRLHF Math Reasoning Training
- Workflow:Alibaba MNN LLM Deployment Pipeline
- Workflow:OWASP Www project top 10 for large language model applications GenAI Red Team Testing
- Workflow:OWASP Www project top 10 for large language model applications Agentic Security Assessment
- Workflow:Mlc ai Mlc llm REST API Serving
- Workflow:Langchain ai Langchain Adding Partner Integration
- Workflow:Openclaw Openclaw Agent Message Loop
- Workflow:OWASP Www project top 10 for large language model applications Vulnerability Entry Development
Principles
- Principle:AUTOMATIC1111 Stable diffusion webui Task Serialization
- Principle:Openai Openai agents python Result Extraction
- Principle:Googleapis Python genai Tuning Job Configuration
- Principle:Vllm project Vllm Streaming Response Handling
- Principle:Google deepmind Mujoco Model Validation
- Principle:Huggingface Datatrove Unigram Log Probability Filtering
- Principle:NVIDIA NeMo Aligner Reward Model Architecture Selection
- Principle:NVIDIA NeMo Aligner RLHF Prompt Data Preparation
- Principle:OpenGVLab InternVL Prefix LM Conversion
- Principle:Helicone Helicone Column Resize
Implementations
- Implementation:Apache Paimon TableUpdateByRowId
- Implementation:Lucidrains X transformers NonAutoregressiveWrapper Generate
- Implementation:Run llama Llama index BaseVoiceAgentInterface
- Implementation:Lm sys FastChat Criteria Labeling
- Implementation:Mit han lab Llm awq Wikitext eval loop
- Implementation:VainF Torch Pruning Eval PPL
- Implementation:Vllm project Vllm AIter Ops
- Implementation:ContextualAI HALOs BradleyTerryTrainer Train
- Implementation:Facebookresearch Audiocraft MagnetSolver
- Implementation:Langgenius Dify Service Common
Heuristics
- Heuristic:Vibrantlabsai Ragas Concurrency And Retry Configuration
- Heuristic:Apache Spark Memory Tuning Tips
- Heuristic:Neuml Txtai LLM Context Window Fallback
- Heuristic:Volcengine Verl FSDP Mixed Precision Init
- Heuristic:Openai Openai node Warning Deprecated Beta Realtime
- Heuristic:Openclaw Openclaw Cache TTL Asymmetric Strategy
- Heuristic:Rapidsai Cuml Dask Data Partitioning
- Heuristic:Alibaba ROLL Numerical Stability Epsilon
- Heuristic:Microsoft DeepSpeedExamples Gradient Checkpointing Tradeoff
- Heuristic:Infiniflow Ragflow Reranking Weight Tuning
Environments
- Environment:Haotian liu LLaVA Python CUDA Training Environment
- Environment:Junyanz Pytorch CycleGAN and pix2pix DDP Multi GPU
- Environment:Iterative Dvc Git SCM Environment
- Environment:Sgl project Sglang Multimodal
- Environment:Openclaw Openclaw Mintlify Documentation Platform
- Environment:Apache Kafka Release Toolchain Environment
- Environment:Intel Ipex llm CPU Finetuning Environment
- Environment:Datahub project Datahub Java Build
- Environment:Apache Spark JDK Build Environment
- Environment:Microsoft DeepSpeedExamples RLHF Training Environment