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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:Open compass VLMEvalKit Video Benchmark Evaluation
- Workflow:Microsoft DeepSpeedExamples VisualChat Multimodal Training
- Workflow:CrewAIInc CrewAI Custom Tool Integration
- Workflow:Pyro ppl Pyro Bayesian Regression
- Workflow:TA Lib Ta lib python Basic Indicator Computation
- Workflow:MarketSquare Robotframework browser Installation and Setup
- Workflow:Google deepmind Mujoco Interactive simulation
- Workflow:TobikoData Sqlmesh Plan and apply deployment
- Workflow:PrefectHQ Prefect Per Worker Task Concurrency
- Workflow:Microsoft Onnxruntime Nodejs Inference
Principles
- Principle:Duckdb Duckdb Artifact Compression And Upload
- Principle:Huggingface Peft SFT Training
- Principle:Risingwavelabs Risingwave Iceberg Catalog Operations
- Principle:Huggingface Datasets Data Verification
- Principle:Datahub project Datahub Metadata Emission
- Principle:Webdriverio Webdriverio Performance Reporting
- Principle:Scikit learn Scikit learn Ensemble Training
- Principle:Pytorch Serve Speculative Decoding Inference
- Principle:Webdriverio Webdriverio Singleton Pattern
- Principle:Scikit learn Scikit learn Decision Tree Learning
Implementations
- Implementation:Microsoft Onnxruntime TorchCustomFunctionKernelBase
- Implementation:Neuml Txtai Extractive QA
- Implementation:Microsoft Playwright Validator Primitives
- Implementation:Sgl project Sglang CPU Common Header
- Implementation:Google deepmind Mujoco Platform Step Control
- Implementation:Guardrails ai Guardrails Pydantic Utils
- Implementation:Neuml Txtai RAG Prompt Template
- Implementation:Langfuse Langfuse S3 Slowdown Tracking
- Implementation:ClickHouse ClickHouse Poco RemoteSyslogChannel
- Implementation:Tensorflow Serving Regressor Test
Heuristics
- Heuristic:Google deepmind Mujoco Mesh Quality For Collision
- Heuristic:Google research Deduplicate text datasets Parallel Job Scaling By Data Size
- Heuristic:Deepseek ai Janus Bfloat16 Dtype Selection
- Heuristic:Truera Trulens Feedback Score Thresholds
- Heuristic:Microsoft Autogen Warning Deprecated JSON Env Files
- Heuristic:Haotian liu LLaVA Image Aspect Ratio Padding Strategy
- Heuristic:Vespa engine Vespa RPM Zstd Compression Settings
- Heuristic:Apache Dolphinscheduler Epoll Vs NIO Selection
- Heuristic:Explodinggradients Ragas Concurrency And Rate Limiting
- Heuristic:Kubeflow Pipelines Cache Staleness In Recursive Pipelines
Environments
- Environment:Sktime Pytorch forecasting Optuna Tuning Dependencies
- Environment:OpenBMB UltraFeedback OpenAI API Environment
- Environment:Unslothai Unsloth CUDA BitsAndBytes
- Environment:Deepset ai Haystack OpenAI API Environment
- Environment:Spcl Graph of thoughts Python 3 8 Runtime
- Environment:Alibaba MNN GPU Metal Environment
- Environment:Vllm project Vllm CUDA Runtime
- Environment:BerriAI Litellm Docker Deployment
- Environment:ARISE Initiative Robomimic PyTorch CUDA Environment
- Environment:Guardrails ai Guardrails LLM Provider API Keys