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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:Explodinggradients Ragas Agent Evaluation
- Workflow:Microsoft Playwright AI agent driven testing
- Workflow:Datahub project Datahub Docker Quickstart Deployment
- Workflow:Explodinggradients Ragas RAG Evaluation
- Workflow:Apache Dolphinscheduler Datasource Plugin Development
- Workflow:SeleniumHQ Selenium Page Object Pattern Testing
- Workflow:Allenai Open instruct SFT Finetuning
- Workflow:Microsoft Playwright Codegen test recording
- Workflow:Tencent Ncnn Vulkan GPU Accelerated Inference
- Workflow:Haotian liu LLaVA Benchmark Evaluation
Principles
- Principle:Scikit learn Scikit learn Random Forest Classification
- Principle:Mlc ai Mlc llm Model Library Packaging
- Principle:Cohere ai Cohere python Message Construction
- Principle:Trailofbits Fickling Benchmark Payload Injection
- Principle:Huggingface Peft Cosine Similarity Contrastive Training
- Principle:Heibaiying BigData Notes Prepare Input Data
- Principle:ClickHouse ClickHouse DNS Resolution
- Principle:Google deepmind Dm control Robot Configuration
- Principle:Apache Beam Worker Initialization
- Principle:Sktime Pytorch forecasting Probabilistic Prediction
Implementations
- Implementation:Mlc ai Mlc llm Serve
- Implementation:InternLM Lmdeploy Gemm Format
- Implementation:OpenHands OpenHands UseArray
- Implementation:DataTalksClub Data engineering zoomcamp Dbt Test Docs CLI
- Implementation:Mit han lab Llm awq WQLinear from linear
- Implementation:Kornia Kornia Lovasz Hinge Loss
- Implementation:Mage ai Mage ai Google Ads Ads Schema
- Implementation:LMCache LMCache L1 Manager
- Implementation:Ggml org Llama cpp KV Cache ISWA
- Implementation:NVIDIA NeMo Curator ImageFilterBase
Heuristics
- Heuristic:Huggingface Datasets Cache Fingerprinting Tips
- Heuristic:Puppeteer Puppeteer Chrome Default Launch Arguments
- Heuristic:TobikoData Sqlmesh Model Change Categorization
- Heuristic:Datajuicer Data juicer Batch Size Adaptation
- Heuristic:Romsto Speculative Decoding KV Cache Instability
- Heuristic:SqueezeAILab ETS Thread Parallelism Suppression
- Heuristic:Nightwatchjs Nightwatch ESM Module Loading Tips
- Heuristic:Huggingface Trl DeepSpeed ZeRO3 Generation Tradeoff
- Heuristic:Helicone Helicone Rate Limiting Fail Open
- Heuristic:SeleniumHQ Selenium Warning Deprecated Proxy FTP Methods
Environments
- Environment:Microsoft Onnxruntime Distributed Training Environment
- Environment:Kubeflow Pipelines Python SDK
- Environment:Zai org CogVideo Diffusers Inference Environment
- Environment:DataExpert io Data engineer handbook PostgreSQL Docker Environment
- Environment:Huggingface Alignment handbook PyTorch CUDA
- Environment:Huggingface Alignment handbook BitsAndBytes CUDA
- Environment:Shiyu coder Kronos Comet ML Logging
- Environment:CrewAIInc CrewAI LLM Provider Credentials
- Environment:Langfuse Langfuse Docker Infrastructure
- Environment:Testtimescaling Testtimescaling github io Semantic Scholar API