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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:Romsto Speculative Decoding Speculative Decoding Inference
- Workflow:Microsoft Autogen Multi Agent Conversation
- Workflow:Groq Groq python Chat Completion
- Workflow:Huggingface Transformers 3D Parallel Distributed Training
- Workflow:Apache Kafka Coordinator Runtime Lifecycle
- Workflow:Microsoft Autogen Swarm Agent Handoff
- Workflow:Ray project Ray Serve Deployment
- Workflow:Mlc ai Mlc llm Disaggregated Serving
- Workflow:Openclaw Openclaw Gateway Operations And Diagnostics
- Workflow:VainF Torch Pruning Vision Transformer Pruning
Principles
- Principle:OpenHands OpenHands Business Route Mounting
- Principle:Mit han lab Llm awq Multimodal Vision Language Inference
- Principle:Cohere ai Cohere python SDK Authentication
- Principle:Volcengine Verl Rule Based Reward Computation
- Principle:Cypress io Cypress Test Runner Launch
- Principle:Ggml org Llama cpp Parallel Request Handling
- Principle:ArroyoSystems Arroyo API Architecture
- Principle:Google deepmind Mujoco Inverse Dynamics
- Principle:Webdriverio Webdriverio Performance Reporting
- Principle:Ray project Ray CI Pipeline Configuration
Implementations
- Implementation:Vllm project Vllm Structured Output Parsing
- Implementation:NVIDIA NeMo Curator ShuffleStage
- Implementation:Vllm project Vllm Snapshot Download LoRA
- Implementation:Huggingface Datasets Dataset Set Format
- Implementation:Dotnet Machinelearning AutoMLExperiment Configuration
- Implementation:Avhz RustQuant GarmanKohlhagen83 Model
- Implementation:Truera Trulens TruApp Wrapper
- Implementation:Ray project Ray BaseId
- Implementation:InternLM Lmdeploy Gemm ThreadGroupMap
- Implementation:Kubeflow Pipelines PipelineTask Configuration Methods
Heuristics
- Heuristic:Microsoft Agent framework Function Invocation Defaults
- Heuristic:Gretelai Gretel synthetics Batch Size Divisibility Constraints
- Heuristic:Rapidsai Cuml Dask Data Partitioning
- Heuristic:Microsoft Autogen Parallel Tool Call Safety
- Heuristic:Kornia Kornia CPU GPU Branching Tip
- Heuristic:Kubeflow Kubeflow Sequential Infrastructure Deployment
- Heuristic:Ggml org Ggml Quantization Type Selection
- Heuristic:Protectai Llm guard Token Limit Early Guard
- Heuristic:Danijar Dreamerv3 Symlog TwoHot Prediction
- Heuristic:TobikoData Sqlmesh Snapshot TTL Defaults
Environments
- Environment:Apache Flink Java Build Environment
- Environment:Lance format Lance SIMD And Platform Requirements
- Environment:LMCache LMCache CUDA GPU Runtime
- Environment:Openai Openai python Python 3 9 Plus
- Environment:Ray project Ray CI Build Matrix Environment
- Environment:Snorkel team Snorkel Dask Distributed
- Environment:Lm sys FastChat Python Core Dependencies
- Environment:Speechbrain Speechbrain HuggingFace Transformers
- Environment:Huggingface Diffusers PyTorch CUDA Runtime
- Environment:PacktPublishing LLM Engineers Handbook VLLM Evaluation Environment