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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:Neuml Txtai Agent Execution
- Workflow:DataExpert io Data engineer handbook Dimensional Data Modeling Environment Setup
- Workflow:Mage ai Mage ai Building a New Source Connector
- Workflow:Huggingface Peft Prompt Tuning Classification
- Workflow:Predibase Lorax Single LoRA Inference
- Workflow:Run llama Llama index Data Ingestion Pipeline
- Workflow:Vespa engine Vespa Logging framework initialization
- Workflow:Rapidsai Cuml Multi GPU Distributed ML
- Workflow:Microsoft Playwright API testing
- Workflow:Apache Shardingsphere Metadata DDL Refresh
Principles
- Principle:Farama Foundation Gymnasium Environment Registration
- Principle:Eventual Inc Daft Pandas Export
- Principle:VainF Torch Pruning Pruned Model Serialization
- Principle:Apache Spark Dependency Pinning
- Principle:Ggml org Llama cpp CLI Argument Parsing
- Principle:Apache Flink File Sink Builder Configuration
- Principle:Anthropics Anthropic sdk python Multi turn Conversation Management
- Principle:Microsoft Agent framework Approval Request Presentation
- Principle:ARISE Initiative Robomimic Checkpointing and Model Saving
- Principle:Hiyouga LLaMA Factory Direct Preference Optimization
Implementations
- Implementation:Avhz RustQuant DateRollingConvention
- Implementation:Promptfoo Promptfoo createDummyFiles
- Implementation:MarketSquare Robotframework browser Login Test Page
- Implementation:Open compass VLMEvalKit MathVista Utils
- Implementation:CARLA simulator Carla Change Map Layer Tool
- Implementation:Huggingface Datatrove RayInferenceCluster
- Implementation:Ollama Ollama Tools Parser
- Implementation:Kornia Kornia Motion Blur Kernel
- Implementation:NVIDIA TransformerEngine PyTorch Ext Attention
- Implementation:Vllm project Vllm SGL MoE FP8
Heuristics
- Heuristic:Tencent Ncnn Optimize Before Quantize
- Heuristic:PeterL1n BackgroundMattingV2 Backbone Scale Selection
- Heuristic:Apache Spark Serialization Optimization
- Heuristic:Lucidrains X transformers Numerical Stability Techniques
- Heuristic:Liu00222 Open Prompt Injection BPE Retokenization Parameters
- Heuristic:Vllm project Vllm KV Cache Block Size Selection
- Heuristic:Obss Sahi Warning Deprecated Legacy NMS
- Heuristic:Open compass VLMEvalKit WORLD SIZE Unset For Model Building
- Heuristic:Datahub project Datahub Gradle Task Only
- Heuristic:Sktime Pytorch forecasting Early Stopping Patience
Environments
- Environment:Mbzuai oryx Awesome LLM Post training Python Pandas
- Environment:Tencent Ncnn Vulkan Environment
- Environment:Heibaiying BigData Notes HBase Environment
- Environment:Vespa engine Vespa FNET Transport Config
- Environment:Dotnet Machinelearning OneDal Acceleration
- Environment:Datahub project Datahub Docker Quickstart Environment
- Environment:Tensorflow Tfjs Node Native Runtime
- Environment:Sktime Pytorch forecasting Optuna Tuning Dependencies
- Environment:Mistralai Client python Python SDK Environment
- Environment:Unslothai Unsloth CUDA BitsAndBytes