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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:Lm sys FastChat MT Bench Evaluation
- Workflow:Sail sg LongSpec Speculative Decoding Inference
- Workflow:Diagram of thought Diagram of thought DoT Trace Extraction
- Workflow:Openai Openai python Audio Processing
- Workflow:Mit han lab Llm awq TinyChat LLM Deployment
- Workflow:Recommenders team Recommenders Neural Collaborative Filtering
- Workflow:Openai Evals Implementing a custom completion function
- Workflow:Huggingface Peft Seq2Seq AdaLoRA Finetuning
- Workflow:OpenRLHF OpenRLHF Knowledge Distillation
- Workflow:Isaac sim IsaacGymEnvs Domain Randomization Training
Principles
- Principle:ClickHouse ClickHouse Banned Function Enforcement
- Principle:Mage ai Mage ai API Stream Discovery
- Principle:Treeverse LakeFS Retention Rule Configuration
- Principle:Apache Paimon Global Index Scan Building
- Principle:Online ml River Streaming Classification Metrics
- Principle:Apache Druid Query History
- Principle:Arize ai Phoenix Experiment Result Analysis
- Principle:Open compass VLMEvalKit API Model Adapter Pattern
- Principle:Intel Ipex llm Pipeline Parallel Generation
- Principle:Eventual Inc Daft Data Ingestion HuggingFace
Implementations
- Implementation:Dagster io Dagster Dagster Pipes Client
- Implementation:Microsoft Playwright React CT Mount
- Implementation:Online ml River Linear Model LinearRegression
- Implementation:Datahub project Datahub Java SDK V1 Examples
- Implementation:Trailofbits Fickling Activate Safe ML Environment
- Implementation:Microsoft DeepSpeedExamples Create DSVL Model
- Implementation:Lance format Lance Java UpdateConfig
- Implementation:Mlc ai Mlc llm Llama Model
- Implementation:Ray project Ray Serve DeploymentVersion
- Implementation:Interpretml Interpret ClassHistogram And Marginal
Heuristics
- Heuristic:ARISE Initiative Robomimic Data Worker Tuning By Modality
- Heuristic:Dotnet Machinelearning AutoML SMAC Dimension Limit
- Heuristic:Evidentlyai Evidently Statistical Test Auto Selection
- Heuristic:Openclaw Openclaw WebSocket Reconnection And Session Cleanup
- Heuristic:Apache Dolphinscheduler Netty Thread Sizing
- Heuristic:Mlc ai Web llm Low Resource Model Selection
- Heuristic:Infiniflow Ragflow Reranking Weight Tuning
- Heuristic:Bitsandbytes foundation Bitsandbytes Blocksize Platform Defaults
- Heuristic:DataTalksClub Data engineering zoomcamp DuckDB OOM Memory Management
- Heuristic:Haosulab ManiSkill Physics Solver Tuning
Environments
- Environment:BerriAI Litellm PostgreSQL Database
- Environment:Infiniflow Ragflow Frontend Node Environment
- Environment:Vllm project Vllm ROCm
- Environment:Interpretml Interpret Python Core Environment
- Environment:NVIDIA NeMo Curator RAPIDS GPU Stack
- Environment:Langchain ai Langgraph Python Runtime Environment
- Environment:Speechbrain Speechbrain HuggingFace Transformers
- Environment:Mistralai Client python Python SDK Environment
- Environment:Intel Ipex llm NPU Environment
- Environment:Webdriverio Webdriverio Cloud Service Credentials