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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:Openai Openai agents python Guardrails Secured Agent
- Workflow:Nightwatchjs Nightwatch Component Testing
- Workflow:ChenghaoMou Text dedup SimHash Deduplication
- Workflow:Puppeteer Puppeteer PDF Generation
- Workflow:Turboderp org Exllamav2 EXL2 Model Conversion
- Workflow:ArroyoSystems Arroyo Local Pipeline Execution
- Workflow:Datahub project Datahub CLI Metadata Ingestion
- Workflow:Ggml org Llama cpp Multimodal Inference
- Workflow:Intel Ipex llm Pipeline Parallel Inference
- Workflow:Googleapis Python genai Image Generation Pipeline
Principles
- Principle:Ggml org Llama cpp Context Extension Testing
- Principle:Ollama Ollama CLI Format Utility
- Principle:Avhz RustQuant Gradient Descent Optimization
- Principle:Google deepmind Mujoco Plugin System
- Principle:Heibaiying BigData Notes MapReduce Combiner
- Principle:Wandb Weave Session Finalization
- Principle:Zai org CogVideo T2V Pipeline Loading
- Principle:Kubeflow Pipelines XGBoost Model Prediction
- Principle:Openai Whisper Segment Assembly
- Principle:Cohere ai Cohere python Input Text Preparation
Implementations
- Implementation:Ollama Ollama Convert Qwen3
- Implementation:Apache Shardingsphere MetaDataContexts Container
- Implementation:Mlc ai Web llm Package Lock
- Implementation:Deepspeedai DeepSpeed CPU Lion Header
- Implementation:Openai Openai python Response Reasoning Summary Part Done
- Implementation:Recommenders team Recommenders BaseModel Run Fast Eval
- Implementation:Duckdb Duckdb Zstd Compressor
- Implementation:Explodinggradients Ragas RAG Query Function Pattern
- Implementation:Microsoft Autogen Studio Datamodel Types
- Implementation:Microsoft Onnxruntime OnnxTensor JNI
Heuristics
- Heuristic:Tencent Ncnn FP16 Precision Selection
- Heuristic:Deepset ai Haystack BM25 Score Scaling
- Heuristic:Microsoft DeepSpeedExamples RLHF Stability Constraints
- Heuristic:Snorkel team Snorkel Precision Init Prior
- Heuristic:Huggingface Peft Gradient Checkpointing With Quantization
- Heuristic:Apache Spark Partition Sizing Tips
- Heuristic:Ray project Ray Graceful Shutdown Timing
- Heuristic:Scikit learn contrib Imbalanced learn Sparse Matrix Handling
- Heuristic:Trailofbits Fickling Allowlist Maintenance
- Heuristic:Astronomer Astronomer cosmos Dbt Invocation Mode Selection
Environments
- Environment:SeldonIO Seldon core Docker Compose Local Environment
- Environment:Evidentlyai Evidently Node Frontend Environment
- Environment:NVIDIA NeMo Aligner TensorRT LLM Acceleration Environment
- Environment:VainF Torch Pruning PyTorch Python Core
- Environment:Fastai Fastbook Sklearn Environment
- Environment:Recommenders team Recommenders GPU CUDA Environment
- Environment:Mlflow Mlflow MLflow Server Environment
- Environment:Mlc ai Mlc llm Metal macOS iOS Environment
- Environment:Kserve Kserve Cert Manager
- Environment:Tensorflow Serving Kubernetes Deployment Environment