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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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|---|---|---|
| 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:Ray project Ray Remote Task Execution
- Workflow:Shiyu coder Kronos Batch Prediction
- Workflow:AnswerDotAI RAGatouille Document Indexing And Search
- Workflow:Shiyu coder Kronos Single Series Prediction
- Workflow:Microsoft Onnxruntime Train Convert Predict
- Workflow:NVIDIA NeMo Aligner REINFORCE Training
- Workflow:Promptfoo Promptfoo CI CD Integration
- Workflow:Ucbepic Docetl Long Document Chunking
- Workflow:Lm sys FastChat MT Bench Evaluation
- Workflow:InternLM Lmdeploy W4A16 AWQ Quantization
Principles
- Principle:TobikoData Sqlmesh CICD Bot Configuration
- Principle:Neuml Txtai Index Construction
- Principle:OWASP Www project top 10 for large language model applications Entry Refinement and Revoting
- Principle:Ggml org Llama cpp Model Management
- Principle:Haotian liu LLaVA Conversation Prompt Construction
- Principle:AUTOMATIC1111 Stable diffusion webui Launch Sequence
- Principle:Kubeflow Pipelines Parquet Model Training
- Principle:LaurentMazare Tch rs GPT Text Generation
- Principle:Tencent Ncnn Python Bindings Build
- Principle:Nightwatchjs Nightwatch BDD Style Expect Assertions
Implementations
- Implementation:Openai Openai python Response Refusal Done
- Implementation:Open compass VLMEvalKit EMMADataset
- Implementation:Pytorch Serve Transformer Handler Config
- Implementation:NVIDIA DALI EfficientDet Dataloader
- Implementation:Microsoft Playwright Public API Types
- Implementation:CrewAIInc CrewAI Enterprise API Spec Ko
- Implementation:Apache Druid Json Completion Engine
- Implementation:Run llama Llama index SQLDatabase
- Implementation:Spotify Luigi SparkSubmitTask Config
- Implementation:Onnx Onnx Model Subgraph Extractor
Heuristics
- Heuristic:Haotian liu LLaVA Use Cache Training Inference Toggle
- Heuristic:Datahub project Datahub Gradle Formatting Over Direct Tools
- Heuristic:Huggingface Datasets Batch Size Optimization
- Heuristic:Googleapis Python genai API Retry Backoff Strategy
- Heuristic:Alibaba ROLL Reward Clipping Normalization
- Heuristic:Openai Openai agents python Sensitive Data Logging Defaults
- Heuristic:NVIDIA NeMo Curator Video Frame Sampling Strategy
- Heuristic:Huggingface Transformers Label Smoothing Multi Label Warning
- Heuristic:Openai Openai node Retry Backoff Configuration
- Heuristic:Lm sys FastChat GPU Memory Allocation Strategy
Environments
- Environment:Openai Whisper Numba
- Environment:Guardrails ai Guardrails LLM Provider API Keys
- Environment:Anthropics Anthropic sdk python Python SDK Core Environment
- Environment:Google deepmind Mujoco C Build Environment
- Environment:Treeverse LakeFS Go Runtime Environment
- Environment:Shiyu coder Kronos HuggingFace Hub Access
- Environment:Apache Spark Python Environment
- Environment:Apache Shardingsphere ZooKeeper Cluster Coordination
- Environment:Dotnet Machinelearning TorchSharp Environment
- Environment:Recommenders team Recommenders GPU CUDA Environment