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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:Googleapis Python genai Multimodal Content Generation
- Workflow:Elevenlabs Elevenlabs python Conversational AI Agent
- Workflow:Sdv dev SDV Sequential data synthesis
- Workflow:Dotnet Machinelearning AutoML Experiment
- Workflow:Langfuse Langfuse Prompt management lifecycle
- Workflow:Webdriverio Webdriverio Custom Plugin Development
- Workflow:Kserve Kserve LLM Disaggregated Serving
- Workflow:Facebookresearch Audiocraft Model Export And Deployment
- Workflow:Mlflow Mlflow LLM Tracing
- Workflow:Avhz RustQuant Stochastic Process Simulation
Principles
- Principle:Fastai Fastbook Tensor Fundamentals
- Principle:Huggingface Transformers Input Preprocessing
- Principle:Truera Trulens Leaderboard Analysis
- Principle:ClickHouse ClickHouse Strong IP Types
- Principle:Helicone Helicone Registry Snapshot Testing
- Principle:Huggingface Optimum Task and Model Resolution
- Principle:Arize ai Phoenix Evaluation Execution
- Principle:Microsoft Semantic kernel Connector Embeddings Test Fixtures
- Principle:ThreeSR Awesome Inference Time Scaling Entry Format Verification
- Principle:Princeton nlp SimPO Configuration Parsing
Implementations
- Implementation:CARLA simulator Carla Road Interface
- Implementation:CarperAI Trlx NeMo ILQL Model
- Implementation:Google deepmind Mujoco MJX Ray
- Implementation:Isaac sim IsaacGymEnvs Pip Install Editable
- Implementation:NVIDIA NeMo Curator Processing Stage Decorator
- Implementation:Microsoft Playwright PipeTransport
- Implementation:Interpretml Interpret Tensor
- Implementation:Mlc ai Mlc llm Engine State
- Implementation:Cohere ai Cohere python Map Response From Bedrock
- Implementation:OpenHands OpenHands OpenhandsPRStore
Heuristics
- Heuristic:Apache Hudi Compaction Scheduling Safety
- Heuristic:NVIDIA NeMo Curator Video Frame Sampling Strategy
- Heuristic:Neuml Txtai Llama Cpp Context Fallback
- Heuristic:Mlc ai Web llm Tokenizer JSON Preference
- Heuristic:Deepspeedai DeepSpeed Vocabulary Tensor Core Alignment
- Heuristic:Testtimescaling Testtimescaling github io Hardcoded IDs vs Registry
- Heuristic:Speechbrain Speechbrain Data Augmentation Defaults
- Heuristic:Openai Openai python Warning Deprecated Legacy Response
- Heuristic:Microsoft BIPIA OpenAI Rate Limit Retry
- Heuristic:Apache Kafka Coordinator Loading Commit Interval
Environments
- Environment:Apache Flink Java Build Environment
- Environment:DataTalksClub Data engineering zoomcamp Dbt DuckDB Environment
- Environment:Elevenlabs Elevenlabs python Python Websockets
- Environment:Bitsandbytes foundation Bitsandbytes ROCm AMD Environment
- Environment:Pytorch Serve Distributed Training Environment
- Environment:Wandb Weave LLM Integration Dependencies
- Environment:Haosulab ManiSkill Python SAPIEN Core
- Environment:Infiniflow Ragflow Docker Infrastructure
- Environment:Deepspeedai DeepSpeed Multi Accelerator Environment
- Environment:Mistralai Client python Azure Deployment Environment