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:MaterializeInc Materialize Release Process
- Workflow:CrewAIInc CrewAI Custom Tool Integration
- Workflow:Truera Trulens Custom App Instrumentation And Evaluation
- Workflow:MaterializeInc Materialize Upgrade Testing
- Workflow:Alibaba MNN LLM Deployment Pipeline
- Workflow:OpenGVLab InternVL Multi Stage Pretraining
- Workflow:Microsoft Semantic kernel Kernel Setup And Chat Completion
- Workflow:EvolvingLMMs Lab Lmms eval Distributed Multi GPU Evaluation
- Workflow:Recommenders team Recommenders ALS Spark Recommendation
- Workflow:Ollama Ollama Model Registry Operations
Principles
- Principle:Online ml River Active Learning Classification
- Principle:Webdriverio Webdriverio Global API
- Principle:Scikit learn contrib Imbalanced learn Geometric Mean Evaluation
- Principle:Ggml org Ggml Model Training
- Principle:CARLA simulator Carla Python API Build
- Principle:AUTOMATIC1111 Stable diffusion webui Postprocessing input selection
- Principle:Marker Inc Korea AutoRAG API Based Passage Reranking
- Principle:Recommenders team Recommenders News Prediction Export
- Principle:Apache Hudi Data Reading And Processing
- Principle:Nightwatchjs Nightwatch Component Test Authoring
Implementations
- Implementation:Facebookresearch Habitat lab UserMask
- Implementation:Apache Kafka Docker Registry Push
- Implementation:Lance format Lance Dataset Delete
- Implementation:InternLM Lmdeploy DecodingConfig
- Implementation:TobikoData Sqlmesh Information
- Implementation:Mlfoundations Open flamingo Train one epoch
- Implementation:Apache Flink Pool
- Implementation:LMCache LMCache Disagg Proxy Server
- Implementation:Bentoml BentoML Buildx Backend
- Implementation:Mage ai Mage ai Tableau Streams
Heuristics
- Heuristic:Nightwatchjs Nightwatch Node 17 DNS IPv4 Workaround
- Heuristic:Duckdb Duckdb Memory Management Rules
- Heuristic:Huggingface Datatrove FineWeb Filter Pipeline Order
- Heuristic:OpenHands OpenHands Clustered Race Condition Prevention
- Heuristic:Isaac sim IsaacGymEnvs DR Setup Only Flag
- Heuristic:Princeton nlp Tree of thought llm Duplicate Candidate Zeroing
- Heuristic:Risingwavelabs Risingwave LSM Compaction Tuning
- Heuristic:Lance format Lance Warning Deprecated Java APIs
- Heuristic:Mlflow Mlflow Prompt Cache Tuning
- Heuristic:Helicone Helicone Anthropic Cache Double Count Prevention
Environments
- Environment:Huggingface Open r1 Slurm Cluster
- Environment:Infiniflow Ragflow GPU CUDA Environment
- Environment:Kubeflow Pipelines Kubernetes Cluster
- Environment:Gretelai Gretel synthetics PyTorch CUDA Environment
- Environment:Apache Hudi Flink Runtime Environment
- Environment:Anthropics Anthropic sdk python AWS Bedrock Environment
- Environment:Lucidrains X transformers Python Environment
- Environment:ClickHouse ClickHouse Systemd Runtime
- Environment:Tensorflow Serving Kubernetes Deployment Environment
- Environment:Ggml org Ggml CUDA GPU Environment