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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 |
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Workflows
- Workflow:Run llama Llama index Data Ingestion Pipeline
- Workflow:InternLM Lmdeploy LLM API Server Deployment
- Workflow:Ray project Ray Build and Release Pipeline
- Workflow:Volcengine Verl Supervised Fine Tuning
- Workflow:Microsoft Semantic kernel Agent Conversation And Orchestration
- Workflow:MarketSquare Robotframework browser Installation and Setup
- Workflow:Microsoft Playwright Browser automation CLI
- Workflow:DataExpert io Data engineer handbook PySpark Iceberg Job Execution
- Workflow:LLMBook zh LLMBook zh github io DPO Alignment
- Workflow:MarketSquare Robotframework browser API Testing via Browser
Principles
- Principle:Ollama Ollama Blob Transfer
- Principle:Apache Dolphinscheduler DataSource Channel Pattern
- Principle:Sail sg LongSpec Tree Speculative Decoding
- Principle:Openclaw Openclaw Channel Registration
- Principle:Cleanlab Cleanlab Cross Validation Predicted Probabilities
- Principle:Deepspeedai DeepSpeed Evoformer Attention Kernels
- Principle:Google research Deduplicate text datasets TFDS Deduplication Application
- Principle:Junyanz Pytorch CycleGAN and pix2pix Pretrained Model Download
- Principle:Togethercomputer Together python Batch Result Retrieval
- Principle:Dotnet Machinelearning LambdaMART Ranking
Implementations
- Implementation:Langchain ai Langchain ToolsUnitTests
- Implementation:Spcl Graph of thoughts AbstractLanguageModel
- Implementation:Truera Trulens Compare Tab
- Implementation:Scikit learn contrib Imbalanced learn InstanceHardnessCV
- Implementation:LMCache LMCache LMCacheEngineConfig PD Fields
- Implementation:LLMBook zh LLMBook zh github io Trainer Train SFT
- Implementation:Apache Shardingsphere MemoryRepository Persist
- Implementation:Microsoft Playwright CrPdf
- Implementation:Mlc ai Mlc llm Fuse Add Norm
- Implementation:Haosulab ManiSkill RoboCasaHandles
Heuristics
- Heuristic:Webdriverio Webdriverio Default Timeout Configuration
- Heuristic:Zai org CogVideo Data Preparation Best Practices
- Heuristic:FMInference FlexLLMGen Sequence Length Alignment
- Heuristic:Haosulab ManiSkill Initial Pose Performance
- Heuristic:EvolvingLMMs Lab Lmms eval Distributed Padding Strategy
- Heuristic:CarperAI Trlx Delta Rewards
- Heuristic:BerriAI Litellm SSL Cipher Optimization
- Heuristic:Deepspeedai DeepSpeed ZeRO Pipeline Incompatibility
- Heuristic:Allenai Open instruct GPU Memory Utilization
- Heuristic:BerriAI Litellm Token Counting Buffer
Environments
- Environment:Cypress io Cypress Node Runtime Environment
- Environment:Huggingface Diffusers Attention Backends
- Environment:Truera Trulens OpenAI Provider Environment
- Environment:Treeverse LakeFS LakeFS Server Environment
- Environment:Hpcaitech ColossalAI CUDA GPU Environment
- Environment:Pola rs Polars Rust Build Environment
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:Apache Airflow Kubernetes Helm Environment
- Environment:Unslothai Unsloth CUDA VLLM