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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:Avdvg InjectGuard Vector Similarity Detection Pipeline
- Workflow:ARISE Initiative Robosuite Human Demonstration Collection
- Workflow:Huggingface Alignment handbook Multi Stage Post Training
- Workflow:Openai Openai node Realtime Conversation
- Workflow:OpenBMB UltraFeedback Dataset Construction
- Workflow:Princeton nlp Tree of thought llm Adding new task
- Workflow:Astronomer Astronomer cosmos Dbt docs generation
- Workflow:Wandb Weave Tracing Setup
- Workflow:Unslothai Unsloth QLoRA SFT Finetuning
- Workflow:Run llama Llama index OpenAI LLM Finetuning
Principles
- Principle:Openai Openai python Training Data Preparation
- Principle:ArroyoSystems Arroyo Execution Engine
- Principle:Huggingface Optimum Activation Capture via Hooks
- Principle:Pola rs Polars Time Based Sorting
- Principle:Ucbepic Docetl Data Sampling And Selection
- Principle:Huggingface Datasets Semantic Versioning
- Principle:Turboderp org Exllamav2 Sampling Configuration
- Principle:Google deepmind Mujoco CPU Model Loading
- Principle:Microsoft LoRA Weight Merging for Inference
- Principle:Apache Kafka Topic Deletion
Implementations
- Implementation:ArroyoSystems Arroyo Api Types Generated
- Implementation:Openai Openai node Zod String Parser
- Implementation:Ollama Ollama XCreate
- Implementation:Scikit learn Scikit learn PrecisionRecallDisplay
- Implementation:Speechbrain Speechbrain Train PeoplesSpeech
- Implementation:ArroyoSystems Arroyo App Layout
- Implementation:Langfuse Langfuse DashboardService
- Implementation:NVIDIA DALI TensorShape Tests
- Implementation:Facebookresearch Habitat lab Get config baselines
- Implementation:Mage ai Mage ai Google Sheets Source
Heuristics
- Heuristic:Haosulab ManiSkill Initial Pose Performance
- Heuristic:AnswerDotAI RAGatouille Auto Batch Size For Long Documents
- Heuristic:Haotian liu LLaVA Image Aspect Ratio Padding Strategy
- Heuristic:ClickHouse ClickHouse ThinLTO Build Tradeoffs
- Heuristic:Fede1024 Rust rdkafka Transaction Error Recovery
- Heuristic:OWASP Www project top 10 for large language model applications Warning Deprecated Markdown To PDF Convert
- Heuristic:Bitsandbytes foundation Bitsandbytes Compute Dtype Mismatch Warning
- Heuristic:Pyro ppl Pyro Gradient Variance Reduction
- Heuristic:Hiyouga LLaMA Factory Quantized Training Best Practices
- Heuristic:Onnx Onnx Protobuf 2GB Limit Workaround
Environments
- Environment:Bigscience workshop Petals Python Hivemind
- Environment:OpenBMB UltraFeedback vLLM Multi GPU Environment
- Environment:Marker Inc Korea AutoRAG API Keys And Credentials
- Environment:Tencent Ncnn PyTorch Environment
- Environment:Fastai Fastbook Python FastAI Environment
- Environment:Datahub project Datahub Docker Quickstart Environment
- Environment:Microsoft Onnxruntime Windows Build Environment
- Environment:Microsoft DeepSpeedExamples ZeRO Inference Runtime
- Environment:Sgl project Sglang Distributed
- Environment:Apache Shardingsphere Calcite Federation Engine