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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:Shiyu coder Kronos Single Series Prediction
- Workflow:Pytorch Serve LLM Deployment vLLM
- Workflow:Sktime Pytorch forecasting NBeats Univariate Forecasting
- Workflow:ArroyoSystems Arroyo Connection Setup
- Workflow:Kornia Kornia ONNX Model Pipeline
- Workflow:ClickHouse ClickHouse Server Deployment
- Workflow:Mlflow Mlflow GenAI Evaluation
- Workflow:Hpcaitech ColossalAI Supervised Finetuning
- Workflow:Vespa engine Vespa Config subscription lifecycle
- Workflow:Vibrantlabsai Ragas Testset Generation
Principles
- Principle:Apache Hudi Flink Environment Configuration
- Principle:Isaac sim IsaacGymEnvs Core Simulation Methods
- Principle:OpenRLHF OpenRLHF Rejection Sampling
- Principle:Truera Trulens Method Instrumentation
- Principle:Junyanz Pytorch CycleGAN and pix2pix Image Saving
- Principle:Farama Foundation Gymnasium Episode Statistics Tracking
- Principle:Guardrails ai Guardrails Validation Outcome Handling
- Principle:LMCache LMCache P2P Configuration
- Principle:Dotnet Machinelearning LambdaMART Ranking
- Principle:Snorkel team Snorkel Augmentation Policy Configuration
Implementations
- Implementation:Alibaba MNN Test Script
- Implementation:Kornia Kornia VisionTransformer
- Implementation:Nightwatchjs Nightwatch Globals Type Definitions
- Implementation:FlowiseAI Flowise ShareWithWorkspaceDialog
- Implementation:Haotian liu LLaVA Evaluation Data Download
- Implementation:Openai Openai python Shared Response Format JSON Schema
- Implementation:MarketSquare Robotframework browser Device Descriptors Keywords
- Implementation:ClickHouse ClickHouse Poco HTMLForm
- Implementation:Mlc ai Mlc llm ChatCompletion Create
- Implementation:Scikit learn Scikit learn EstimatorPrettyPrint
Heuristics
- Heuristic:Heibaiying BigData Notes HBase Connection Thread Safety Tip
- Heuristic:Microsoft Agent framework Async Context Manager Cleanup
- Heuristic:Risingwavelabs Risingwave Memory Cache Eviction Policy
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix CuDNN Benchmark Scale Width
- Heuristic:TA Lib Ta lib python Compatibility Mode Switching
- Heuristic:Microsoft Onnxruntime Threading Configuration Tips
- Heuristic:Cleanlab Cleanlab KNN Distance Metric Selection
- Heuristic:Trailofbits Fickling Severity Threshold Selection
- Heuristic:Alibaba ROLL Reward Clipping Normalization
- Heuristic:Liu00222 Open Prompt Injection BPE Retokenization Parameters
Environments
- Environment:Vespa engine Vespa Java 17 Build Runtime
- Environment:Kserve Kserve Python Runtime
- Environment:Google deepmind Dm control GLFW Desktop Rendering
- Environment:LLMBook zh LLMBook zh github io VLLM Inference Environment
- Environment:Intel Ipex llm XPU Inference Environment
- Environment:Apache Shardingsphere Etcd Cluster Coordination
- Environment:ThreeSR Awesome Inference Time Scaling GitHub Account Environment
- Environment:Apache Druid Integration Test Docker
- Environment:CrewAIInc CrewAI Python Runtime Environment
- Environment:Mlflow Mlflow Python Runtime Environment