Main Page
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.
Connect your AI coding agent. Plug Leeroopedia into your favorite coding agent, and let it build robust AI/ML systems autonomously:
- SuperML plugin — converts your AI coding agent into an expert ML engineer with agentic memory
- Leeroopedia MCP — search over best-practices and skills of ML/AI
- Kapso — experimentation platform for autonomous AI/ML software building
Browse by Category
| 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:Microsoft BIPIA White Box Defense Finetuning
- Workflow:ARISE Initiative Robomimic Dataset Preparation Pipeline
- Workflow:OpenGVLab InternVL Supervised Finetuning
- Workflow:Google deepmind Mujoco Offscreen video recording
- Workflow:Hpcaitech ColossalAI Model Evaluation
- Workflow:Rapidsai Cuml Multi GPU Distributed ML
- Workflow:Openai Openai agents python Human In The Loop Approval
- Workflow:Tensorflow Serving Model Export And Serving
- Workflow:Tencent Ncnn Object Detection Inference
- Workflow:Apache Dolphinscheduler Datasource Connection Management
Principles
- Principle:Microsoft DeepSpeedExamples RLHF Data Preparation
- Principle:Openai Openai python Response Processing
- Principle:FlagOpen FlagEmbedding Long Video Understanding Evaluation
- Principle:Princeton nlp SimPO Chat Template Application
- Principle:SqueezeAILab ETS Dependency Installation
- Principle:Apache Dolphinscheduler RPC Server Handler
- Principle:Liu00222 Open Prompt Injection Application Assembly
- Principle:Huggingface Transformers Quantized Model Loading
- Principle:Langgenius Dify CSP Policy
- Principle:Webdriverio Webdriverio Test Context Tracking
Implementations
- Implementation:Apache Paimon DataTypeFamily
- Implementation:LMCache LMCache CacheGen Encoder
- Implementation:Langgenius Dify Use Share
- Implementation:Huggingface Datasets IterableDataset Map
- Implementation:Cypress io Cypress OTLPTraceExporter
- Implementation:Tencent Ncnn SimpleOCV
- Implementation:Tensorflow Serving servable state h
- Implementation:Triton inference server Server OrcaHTTP
- Implementation:Triton inference server Server L0 Vertex Ai Test
- Implementation:SeldonIO Seldon core Hodometer Metrics
Heuristics
- Heuristic:OpenBMB UltraFeedback Position Bias Mitigation
- Heuristic:Princeton nlp Tree of thought llm Functools Partial Model Binding
- Heuristic:Mage ai Mage ai Sorted Data Bookmark Strategy
- Heuristic:Isaac sim IsaacGymEnvs DR Setup Only Flag
- Heuristic:Deepseek ai Janus CFG Weight Tuning
- Heuristic:OpenBMB UltraFeedback Score Parsing Robustness
- Heuristic:Axolotl ai cloud Axolotl Sample Packing Best Practices
- Heuristic:Guardrails ai Guardrails Sentence Tokenizer Optimization
- Heuristic:Lucidrains X transformers Sampling Temperature Strategy
- Heuristic:OpenGVLab InternVL Gradient Checkpointing Memory
Environments
- Environment:Ggml org Ggml Python Tooling Environment
- Environment:PacktPublishing LLM Engineers Handbook Unsloth Finetuning Environment
- Environment:Spcl Graph of thoughts Python 3 8 Runtime
- Environment:FlowiseAI Flowise Queue Mode Environment
- Environment:Puppeteer Puppeteer Cross Platform Browser Environment
- Environment:DataTalksClub Data engineering zoomcamp Docker PostgreSQL Python Environment
- Environment:Recommenders team Recommenders GPU CUDA Environment
- Environment:Isaac sim IsaacGymEnvs Pip Dependencies
- Environment:Nightwatchjs Nightwatch BrowserStack Cloud
- Environment:InternLM Lmdeploy CUDA GPU Runtime