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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:Pytorch Serve Large Model Inference
- Workflow:Confident ai Deepeval LLM Tracing and Observability
- Workflow:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:Elevenlabs Elevenlabs python Text to Speech Generation
- Workflow:Unslothai Unsloth QLoRA SFT Finetuning
- Workflow:Haosulab ManiSkill Imitation Learning Pipeline
- Workflow:Promptfoo Promptfoo CI CD Integration
- Workflow:OpenRLHF OpenRLHF Reward Model Training
- Workflow:Turboderp org Exllamav2 Interactive Chat
- Workflow:Teamcapybara Capybara RSpec Integration Setup
Principles
- Principle:Sgl project Sglang Server Health Monitoring
- Principle:Ggml org Llama cpp Batch Decoding
- Principle:Apache Druid Visual Query Execution
- Principle:Junyanz Pytorch CycleGAN and pix2pix Training Visualization
- Principle:Helicone Helicone Cache Abstraction
- Principle:Huggingface Datasets XML Dataset Building
- Principle:Dotnet Machinelearning Symmetric Stochastic Gradient Descent
- Principle:Avhz RustQuant Day Count Conventions
- Principle:Datahub project Datahub Java SDK Dependency Setup
- Principle:CarperAI Trlx Model Checkpointing
Implementations
- Implementation:Open compass VLMEvalKit ChartMimic Grid Evaluator
- Implementation:FMInference FlexLLMGen DeepSpeed Setup
- Implementation:Arize ai Phoenix Evals Tracing
- Implementation:Langgenius Dify Web App Context
- Implementation:Microsoft LoRA DART Train Dataset
- Implementation:Spotify Luigi SGEJobTask
- Implementation:OpenRLHF OpenRLHF KTOTrainer
- Implementation:Allenai Open instruct FlatArguments
- Implementation:Open compass VLMEvalKit Omni3DBench Utils
- Implementation:Huggingface Open r1 GRPOTrainer Usage
Heuristics
- Heuristic:DataTalksClub Data engineering zoomcamp Kafka Consumer Poll Timeout
- Heuristic:Apache Dolphinscheduler Load Balancer Strategy Selection
- Heuristic:SeleniumHQ Selenium FindElements For Absence Check
- Heuristic:Ggml org Llama cpp Batch Size BLAS Minimum
- Heuristic:Cleanlab Cleanlab Multiprocessing Platform Strategy
- Heuristic:Heibaiying BigData Notes Spark Streaming Local Threads Tip
- Heuristic:AnswerDotAI RAGatouille Collection Size Index Tuning
- Heuristic:Deepset ai Haystack Pipeline Max Runs Safety Limit
- Heuristic:Helicone Helicone Provider URL Regex Priority
- Heuristic:Mlfoundations Open flamingo Hungarian MMC4 Image Text Matching
Environments
- Environment:Ray project Ray Java Build Environment
- Environment:Intel Ipex llm NPU Cpp Environment
- Environment:Promptfoo Promptfoo SQLite Database
- Environment:Predibase Lorax Docker Container Runtime
- Environment:Protectai Modelscan H5py Optional
- Environment:Mlflow Mlflow MLflow Server Environment
- Environment:Deepset ai Haystack Python Runtime Environment
- Environment:Confident ai Deepeval LLM Provider Credentials
- Environment:Promptfoo Promptfoo Node Runtime
- Environment:Pyro ppl Pyro Funsor Backend