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Workflows
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Principles
16,832
Implementations
1,245
Heuristics
909
Environments
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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|---|---|---|
| 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:Mlfoundations Open flamingo Model Creation And Inference
- Workflow:Astronomer Astronomer cosmos Local dbt DAG rendering
- Workflow:ContextualAI HALOs Online Iterative Alignment
- Workflow:Iterative Dvc Remote Data Sync
- Workflow:Huggingface Alignment handbook QLoRA Single GPU Finetuning
- Workflow:DataExpert io Data engineer handbook Dimensional Data Modeling Environment Setup
- Workflow:Apache Shardingsphere Shadow Database Routing
- Workflow:Tensorflow Tfjs GPT2 Text Generation
- Workflow:Promptfoo Promptfoo Red Team Security Scan
- Workflow:Webdriverio Webdriverio Page Object Pattern
Principles
- Principle:Openai Openai python Chat Response Processing
- Principle:Online ml River Baseline Drift Detection
- Principle:Kubeflow Pipelines Incremental Model Training
- Principle:SeldonIO Seldon core V2 Inference Protocol
- Principle:OWASP Www project top 10 for large language model applications Sandbox Deployment
- Principle:Triton inference server Server Generate API
- Principle:Truera Trulens Records And Feedback Query
- Principle:Dotnet Machinelearning Gradient Boosted Tree Histogram
- Principle:Apache Dolphinscheduler Workflow Triggering
- Principle:Princeton nlp SimPO Response Post Processing
Implementations
- Implementation:Apache Shardingsphere ShadowRule GetShadowDataSourceMappings
- Implementation:Cleanlab Cleanlab TC Get Label Quality Scores
- Implementation:Microsoft Playwright IPC Driver
- Implementation:FlagOpen FlagEmbedding BGE Coder TripletGenerator
- Implementation:ClickHouse ClickHouse Phdr Cache
- Implementation:Datajuicer Data juicer Config All Yaml
- Implementation:Microsoft Semantic kernel Plugins AddFromType
- Implementation:Axolotl ai cloud Axolotl Do Merge Lora
- Implementation:Treeverse LakeFS MergeIntoBranch With Hooks
- Implementation:NVIDIA TransformerEngine Debug Per Tensor Scaling
Heuristics
- Heuristic:Intel Ipex llm CCL Distributed Training Tips
- Heuristic:Apache Druid Sampler Limitations And Workarounds
- Heuristic:OpenRLHF OpenRLHF Off Policy IS Correction Tip
- Heuristic:Explodinggradients Ragas Concurrency And Rate Limiting
- Heuristic:Allenai Open instruct Pre Init Torch Distributed
- Heuristic:NVIDIA NeMo Aligner PPO Critic Warmup Tip
- Heuristic:Lance format Lance IO Buffer And Batch Sizing
- Heuristic:Huggingface Transformers Label Smoothing Multi Label Warning
- Heuristic:DevExpress Testcafe Concurrency Factor Limit
- Heuristic:Spcl Graph of thoughts Four Bit Quantization For Local LLMs
Environments
- Environment:Huggingface Diffusers PyTorch CUDA Runtime
- Environment:Openclaw Openclaw State Directory And Credentials
- Environment:Iterative Dvc DVC Environment Variables
- Environment:Heibaiying BigData Notes Flink 1 9 Environment
- Environment:Unstructured IO Unstructured All Docs
- Environment:Recommenders team Recommenders Python Core Dependencies
- Environment:Microsoft Onnxruntime Python Inference Environment
- Environment:Speechbrain Speechbrain PyTorch CUDA Runtime
- Environment:Tencent Ncnn PyTorch Environment
- Environment:SeleniumHQ Selenium Grid Deployment Environment