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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. | 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 | '''Connect your AI coding agent.''' Plug Leeroopedia into your favorite coding agent, and let it build robust AI/ML systems autonomously: | ||
''' | * [https://github.com/Leeroo-AI/superml '''SuperML plugin'''] — converts your AI coding agent into an expert ML engineer with agentic memory | ||
* [https://github.com/Leeroo-AI/leeroopedia-mcp '''Leeroopedia MCP'''] — search over best-practices and skills of ML/AI | |||
* [https://github.com/leeroo-ai/kapso '''Kapso'''] — experimentation platform for autonomous AI/ML software building | |||
== Browse by Category == | == Browse by Category == | ||
Latest revision as of 11:45, 14 March 2026
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 Autogen Multi Agent Conversation
- Workflow:BerriAI Litellm Observability Integration
- Workflow:Datahub project Datahub Docker Quickstart Deployment
- Workflow:Apache Flink Stream File Compaction
- Workflow:Openclaw Openclaw Agent Message Loop
- Workflow:Spotify Luigi Spark Processing Pipeline
- Workflow:OpenGVLab InternVL Preference Optimization
- Workflow:ClickHouse ClickHouse Running Stateless Tests
- Workflow:Lance format Lance Table Optimization
- Workflow:Testtimescaling Testtimescaling github io Automated Citation Tracking
Principles
- Principle:Guardrails ai Guardrails Stream Invocation
- Principle:AUTOMATIC1111 Stable diffusion webui Latent sampling
- Principle:Isaac sim IsaacGymEnvs Automatic Domain Randomization
- Principle:Webdriverio Webdriverio Service Worker Pattern
- Principle:Langgenius Dify Model and Prompt Configuration
- Principle:Interpretml Interpret Feature Group Importance
- Principle:Huggingface Datasets Dataset Object Construction
- Principle:Mit han lab Llm awq Fused Normalization
- Principle:Langfuse Langfuse Experiment Run Creation
- Principle:Treeverse LakeFS Hook Result Review
Implementations
- Implementation:Alibaba ROLL VocabParallelLogprobs
- Implementation:Fastai Fastbook Pandas Read Csv
- Implementation:Avhz RustQuant NelsonSiegelSvensson
- Implementation:Risingwavelabs Risingwave DatetimeTypeConverter
- Implementation:Volcengine Verl VLM Model Config
- Implementation:Getgauge Taiko Text Exists
- Implementation:CARLA simulator Carla TrafficManagerClient
- Implementation:Mlflow Mlflow Genai Evaluate
- Implementation:Webdriverio Webdriverio XPath ClassChain
- Implementation:HKUDS AI Trader AssetChart
Heuristics
- Heuristic:ContextualAI HALOs Batch Size Divisibility
- Heuristic:SeldonIO Seldon core Tracing Latency Tip
- Heuristic:Apache Hudi Record Level Index Optimization
- Heuristic:AUTOMATIC1111 Stable diffusion webui Cross Attention Memory Slicing
- Heuristic:Norrrrrrr lyn WAInjectBench L2 Normalize CLIP Embeddings
- Heuristic:Huggingface Datatrove Gopher Quality Thresholds
- Heuristic:Huggingface Trl Disable Dropout For RL Training
- Heuristic:Pyro ppl Pyro MCMC Warmup Adaptation
- Heuristic:Open compass VLMEvalKit WORLD SIZE Unset For Model Building
- Heuristic:Risingwavelabs Risingwave LSM Compaction Tuning
Environments
- Environment:NVIDIA DALI FFmpeg Environment
- Environment:Apache Hudi Java Maven Build Environment
- Environment:Sgl project Sglang Runtime
- Environment:Apache Airflow Kubernetes Helm Environment
- Environment:Liu00222 Open Prompt Injection CUDA Environment
- Environment:Neuml Txtai GPU Accelerator Detection
- Environment:Heibaiying BigData Notes Java 8 Maven Environment
- Environment:Interpretml Interpret Visualization Environment
- Environment:NVIDIA TransformerEngine CUDA Toolkit Requirements
- Environment:Neuml Txtai API Server Configuration