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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 |
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Workflows
- Workflow:Ollama Ollama Model Pull And Run
- Workflow:InternLM Lmdeploy VLM Inference Pipeline
- Workflow:Kornia Kornia Image Stitching Panorama
- Workflow:DataTalksClub Data engineering zoomcamp Kafka Stream Processing
- Workflow:Neuml Txtai Model Training
- Workflow:Datajuicer Data juicer LLM Powered Data Generation
- Workflow:Vespa engine Vespa CI CD build pipeline
- Workflow:ArroyoSystems Arroyo UDF Development
- Workflow:Webdriverio Webdriverio Component Testing
- Workflow:Huggingface Diffusers DreamBooth Personalization
Principles
- Principle:Helicone Helicone Cost Computation
- Principle:Huggingface Optimum Calibration Data Preparation
- Principle:CarperAI Trlx Q Value Guided Generation
- Principle:Langgenius Dify Workflow Execution Monitoring
- Principle:Facebookresearch Audiocraft Audio Token Decoding
- Principle:OpenHands OpenHands Conversation Initiation
- Principle:Dotnet Machinelearning SSA Forecasting Configuration
- Principle:Evidentlyai Evidently Grafana Visualization
- Principle:Nightwatchjs Nightwatch Lifecycle Hooks
- Principle:Mit han lab Llm awq LM Evaluation Harness Adaptation
Implementations
- Implementation:LaurentMazare Tch rs Tensor Convert
- Implementation:CARLA simulator Carla SignalType
- Implementation:Interpretml Interpret BoosterCore Hpp
- Implementation:NVIDIA NeMo Curator FineWebEduClassifier
- Implementation:Risingwavelabs Risingwave DbzChangeEventConsumer
- Implementation:Vibrantlabsai Ragas BleuScore
- Implementation:Haosulab ManiSkill ProcTHORMeta
- Implementation:Neuml Txtai LiteLLM Pipeline
- Implementation:FlagOpen FlagEmbedding EmbedderRunner Run
- Implementation:ClickHouse ClickHouse Defines
Heuristics
- Heuristic:FlagOpen FlagEmbedding Warning Deprecated Search Demo
- Heuristic:Apache Druid Explore Compare Query Strategy
- Heuristic:Triton inference server Server Documentation Standards
- Heuristic:Vespa engine Vespa Log Level Inheritance Polling
- Heuristic:Hpcaitech ColossalAI Empty Cache Between Phases
- Heuristic:OpenRLHF OpenRLHF vLLM Embedding Resize Warning
- Heuristic:Datahub project Datahub Secret Handling And Deprecation Patterns
- Heuristic:OpenGVLab InternVL Gradient Checkpointing Memory
- Heuristic:Tencent Ncnn Optimize Before Quantize
- Heuristic:Testtimescaling Testtimescaling github io Dual JSON Sync
Environments
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:Huggingface Trl vLLM Generation Environment
- Environment:Alibaba MNN GPU Metal Environment
- Environment:Openai Openai node Node 20 Runtime
- Environment:Microsoft Semantic kernel OpenAI API Environment
- Environment:Predibase Lorax Model Source Credentials
- Environment:Lm sys FastChat LoRA QLoRA Training Environment
- Environment:Kserve Kserve SRIOV RDMA Network
- Environment:PeterL1n BackgroundMattingV2 PyTorch CUDA
- Environment:Trailofbits Fickling PyTorch