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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 Human In The Loop Approval
- Workflow:Eric mitchell Direct preference optimization SFT Training
- Workflow:Vllm project Vllm Speculative Decoding
- Workflow:Microsoft Onnxruntime Python Inference Pipeline
- Workflow:Bentoml BentoML Service Definition And Local Serving
- Workflow:Huggingface Diffusers Checkpoint Conversion
- Workflow:Vespa engine Vespa Logging framework initialization
- Workflow:Isaac sim IsaacGymEnvs RL Policy Training
- Workflow:Ollama Ollama OpenAI API Compatibility
- Workflow:Dotnet Machinelearning AutoML Experiment
Principles
- Principle:Helicone Helicone Schema Mapping
- Principle:Ggml org Ggml CANN NPU Computation
- Principle:LaurentMazare Tch rs Stream Serialization
- Principle:CARLA simulator Carla Sensor Data Processing
- Principle:Promptfoo Promptfoo CI Notification
- Principle:Triton inference server Server Protocol Endpoint Testing
- Principle:MarketSquare Robotframework browser Code Quality Enforcement
- Principle:Webdriverio Webdriverio Type Safety
- Principle:Apache Hudi Demo Environment Cleanup
- Principle:Microsoft Onnxruntime Fused Optimizer Configuration
Implementations
- Implementation:Pyro ppl Pyro EnergyDistance
- Implementation:Speechbrain Speechbrain EER And MinDCF
- Implementation:Farama Foundation Gymnasium AntEnv V5
- Implementation:Mage ai Mage ai Source Load Schemas From Folder
- Implementation:Mlc ai Mlc llm Router Serve
- Implementation:Neuml Txtai BM25 Scoring
- Implementation:Cleanlab Cleanlab Order Label Issues
- Implementation:Open compass VLMEvalKit RBDash
- Implementation:OpenRLHF OpenRLHF PPOTrainer fit
- Implementation:Teamcapybara Capybara Capybara Modify Selector
Heuristics
- Heuristic:Mlc ai Mlc llm Optimization Level Selection
- Heuristic:Huggingface Trl DeepSpeed ZeRO3 Generation Tradeoff
- Heuristic:Tensorflow Serving Servable Handle Lifetime
- Heuristic:Microsoft LoRA Selective LoRA QV Only
- Heuristic:Alibaba MNN GPU Tuning Modes
- Heuristic:OpenGVLab InternVL LoRA Alpha Scaling
- Heuristic:Nightwatchjs Nightwatch Timeout And Retry Tuning
- Heuristic:Treeverse LakeFS Presigned URL Expiry Tip
- Heuristic:Huggingface Trl QLoRA BF16 Adapter Casting
- Heuristic:Interpretml Interpret Memory Budget Heuristic
Environments
- Environment:MarketSquare Robotframework browser Python Runtime
- Environment:Mistralai Client python Azure Deployment Environment
- Environment:Ray project Ray Java Build Environment
- Environment:MaterializeInc Materialize Dbt Materialize Runtime
- Environment:Apache Dolphinscheduler Java Runtime
- Environment:Sail sg LongSpec Training Environment
- Environment:Guardrails ai Guardrails OpenTelemetry Tracing
- Environment:Microsoft Onnxruntime Nodejs Runtime Environment
- Environment:Duckdb Duckdb Release Publishing Env
- Environment:Haosulab ManiSkill Python SAPIEN Core