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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:Vespa engine Vespa Config subscription lifecycle
- Workflow:Heibaiying BigData Notes Flink Kafka Streaming Pipeline
- Workflow:ARISE Initiative Robomimic Trained Policy Evaluation
- Workflow:Google deepmind Dm control Control Suite RL Training
- Workflow:OpenRLHF OpenRLHF PPO Ray Training
- Workflow:Bigscience workshop Petals Prompt Tuning Chatbot
- Workflow:Farama Foundation Gymnasium Custom Environment Creation
- Workflow:Getgauge Taiko Gauge Integration Testing
- Workflow:Alibaba ROLL Reward Flow Diffusion Pipeline
- Workflow:Mage ai Mage ai Destination Data Loading
Principles
- Principle:Triton inference server Server Resource Management Testing
- Principle:Microsoft Semantic kernel Event Routing
- Principle:Vllm project Vllm LoRA Engine Configuration
- Principle:Norrrrrrr lyn WAInjectBench Validation Checkpoint Selection
- Principle:Scikit learn Scikit learn Stacking Ensemble
- Principle:MaterializeInc Materialize Container Registry Publishing
- Principle:Openai Evals Batch Eval Execution
- Principle:Langgenius Dify Embedding Indexing Configuration
- Principle:Apache Beam Model Enforcement
- Principle:Nightwatchjs Nightwatch Multi Page Composition
Implementations
- Implementation:ArroyoSystems Arroyo Session Window
- Implementation:SeleniumHQ Selenium Closure Uri
- Implementation:Openai Openai python Pydantic Function Tool
- Implementation:Online ml River Optim Nadam
- Implementation:Ggml org Llama cpp Common Header
- Implementation:Pola rs Polars Scan for Streaming
- Implementation:OpenHands OpenHands SetAuthCookieMiddleware
- Implementation:Treeverse LakeFS Java SDK Model RangeMetadata
- Implementation:Ucbepic Docetl CodeOperations
- Implementation:Microsoft Onnxruntime CPU LSTM Grad
Heuristics
- Heuristic:Microsoft DeepSpeedExamples Gradient Checkpointing Tradeoff
- Heuristic:EvolvingLMMs Lab Lmms eval Request Caching Strategy
- Heuristic:Huggingface Optimum Version Conditional Behavior
- Heuristic:Sail sg LongSpec NCCL Distributed Settings
- Heuristic:LLMBook zh LLMBook zh github io BF16 Mixed Precision Default
- Heuristic:Alibaba MNN Weight Quantization Strategy
- Heuristic:Eventual Inc Daft Execution Config Tuning
- Heuristic:Ollama Ollama Quantization Layer Selection
- Heuristic:Openai Openai python Fine Tuning Data Preparation Tips
- Heuristic:Fede1024 Rust rdkafka Manual Offset Store Pattern
Environments
- Environment:Microsoft Semantic kernel OpenAI API Environment
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:Huggingface Transformers 3D Parallel Multi GPU
- Environment:Evidentlyai Evidently SQL Storage Environment
- Environment:HKUDS AI Trader Python LangChain Runtime
- Environment:FlowiseAI Flowise Node Runtime Environment
- Environment:Kubeflow Kubeflow Git GitHub Environment
- Environment:NVIDIA NeMo Curator Python Linux Base
- Environment:Sgl project Sglang Distributed
- Environment:NVIDIA DALI TensorFlow Environment