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Workflows
7,697
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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| 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:Deepset ai Haystack Document Indexing Pipeline
- Workflow:PrefectHQ Prefect API Sourced ETL
- Workflow:Vespa engine Vespa Linguistics text processing pipeline
- Workflow:OpenGVLab InternVL Multi Stage Pretraining
- Workflow:CrewAIInc CrewAI Knowledge RAG Pipeline
- Workflow:Openai Openai node Chat Completion
- Workflow:Webdriverio Webdriverio Custom Plugin Development
- Workflow:Kornia Kornia Edge Detection Pipeline
- Workflow:ClickHouse ClickHouse Contributing Pull Request
- Workflow:Kubeflow Pipelines Pipeline Authoring and Compilation
Principles
- Principle:Triton inference server Server Ensemble Inference
- Principle:Scikit learn Scikit learn Cluster Evaluation
- Principle:Google deepmind Dm control Locomotion Visualization
- Principle:Isaac sim IsaacGymEnvs Randomization Parameter Definition
- Principle:Openai Openai agents python Runner Invocation
- Principle:ClickHouse ClickHouse Type Safe Wrappers
- Principle:Vespa engine Vespa Text Chunking
- Principle:Neuml Txtai Workflow Scheduling
- Principle:Recommenders team Recommenders NCF Prediction
- Principle:TobikoData Sqlmesh Production Promotion
Implementations
- Implementation:Mit han lab Llm awq VILA15 Demo
- Implementation:CARLA simulator Carla Python Commands Bindings
- Implementation:Openai Openai python Response Web Search Searching
- Implementation:Apache Druid NumberMenuItems
- Implementation:Kserve Kserve LocalModelNodeGroup CRD
- Implementation:Webdriverio Webdriverio Shim
- Implementation:Alibaba MNN PyMNN CV Preprocessing
- Implementation:Openai Openai python Video Model
- Implementation:BerriAI Litellm Secret Detection
- Implementation:Roboflow Rf detr RFDETR Predict
Heuristics
- Heuristic:Apache Kafka Unknown Record Type Upgrade Safety
- Heuristic:Apache Spark Serialization Optimization
- Heuristic:FMInference FlexLLMGen Pin Memory Tradeoffs
- Heuristic:Heibaiying BigData Notes Maven Shade Packaging Tip
- Heuristic:ChenghaoMou Text dedup SimHash Optimization Ceiling
- Heuristic:Microsoft DeepSpeedExamples RLHF Stability Constraints
- Heuristic:Deepspeedai DeepSpeed FP16 Convergence Tips
- Heuristic:Testtimescaling Testtimescaling github io Hardcoded IDs vs Registry
- Heuristic:Microsoft BIPIA Delta Weight CPU Loading
- Heuristic:Mlc ai Web llm Penalty Parameter Defaults
Environments
- Environment:Sktime Pytorch forecasting Cpflows MQF2 Dependencies
- Environment:Datahub project Datahub Python 3 10 Ingestion Environment
- Environment:Apache Hudi Java Maven Build Environment
- Environment:BerriAI Litellm Observability Stack
- Environment:OpenBMB UltraFeedback Python GPU Environment
- Environment:PrefectHQ Prefect AI Integration Credentials
- Environment:Bigscience workshop Petals Python Hivemind
- Environment:Vllm project Vllm ROCm
- Environment:Promptfoo Promptfoo Browser Automation
- Environment:Spotify Luigi AWS S3 Storage