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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 |
Explore Pages
Workflows
- Workflow:Tencent Ncnn PyTorch Model Conversion and Inference
- Workflow:Openclaw Openclaw Channel Connection
- Workflow:Pyro ppl Pyro SVI Training
- Workflow:Huggingface Trl Supervised Finetuning
- Workflow:Anthropics Anthropic sdk python Basic Message Conversation
- Workflow:Kubeflow Pipelines Pipeline Control Flow
- Workflow:Openai Evals Implementing a custom completion function
- Workflow:Deepspeedai DeepSpeed Hybrid Engine RLHF Training
- Workflow:Googleapis Python genai Function Calling and Tools
- Workflow:Ucbepic Docetl Playground Interactive Development
Principles
- Principle:Onnx Onnx Reference Inference
- Principle:Facebookresearch Audiocraft Multi Scale Discrimination
- Principle:Datajuicer Data juicer Operator Fusion
- Principle:Openclaw Openclaw Daemon Installation
- Principle:Princeton nlp Tree of thought llm Experiment Configuration
- Principle:SeleniumHQ Selenium Driver Binary Resolution
- Principle:Pytorch Serve Generative Image Inference
- Principle:Facebookresearch Audiocraft Audio Generation Evaluation
- Principle:MarketSquare Robotframework browser Plugin Architecture
- Principle:Kubeflow Kubeflow Multi User Configuration
Implementations
- Implementation:Huggingface Datasets Parquet Builder
- Implementation:Online ml River Optim AMSGrad
- Implementation:Facebookresearch Audiocraft SEANet and RVQ
- Implementation:Dotnet Machinelearning SymSgdNative
- Implementation:DataTalksClub Data engineering zoomcamp Java CustomSerdes
- Implementation:Langfuse Langfuse StorageService UploadWithSignedUrl
- Implementation:Langchain ai Langgraph UUID6
- Implementation:Langchain ai Langchain BaseChatModel Generate With Cache
- Implementation:LMCache LMCache Redis Adapter
- Implementation:NVIDIA TransformerEngine Ops MakeExtraOutput
Heuristics
- Heuristic:Alibaba MNN Warning Deprecated Winograd Codegen
- Heuristic:Obss Sahi Warning Deprecated Legacy NMS
- Heuristic:Avhz RustQuant Finite Difference Grid Sizing
- Heuristic:Duckdb Duckdb Version Sync Across Files
- Heuristic:Heibaiying BigData Notes Hive ORC Parquet Storage Tip
- Heuristic:Langgenius Dify Credential Sanitization In API Responses
- Heuristic:Unslothai Unsloth Gradient Accumulation Accuracy
- Heuristic:Alibaba ROLL Numerical Stability Epsilon
- Heuristic:Datahub project Datahub Emitter Selection Strategy
- Heuristic:Deepseek ai Janus CFG Weight Tuning
Environments
- Environment:Truera Trulens LangChain LangGraph Environment
- Environment:Wandb Weave Python SDK Runtime
- Environment:Promptfoo Promptfoo Provider API Keys
- Environment:Sktime Pytorch forecasting Cpflows MQF2 Dependencies
- Environment:Haotian liu LLaVA Python CUDA Training Environment
- Environment:Ggml org Llama cpp Metal GPU Environment
- Environment:Mit han lab Llm awq Flash Attention Environment
- Environment:MaterializeInc Materialize Kubernetes Helm Runtime
- Environment:Risingwavelabs Risingwave Java Connector Environment
- Environment:Mlc ai Mlc llm CUDA GPU Environment