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1,118
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:Spotify Luigi Database Ingestion Pipeline
- Workflow:NVIDIA NeMo Aligner Reward Model Training
- Workflow:Farama Foundation Gymnasium Vectorized Environment Training
- Workflow:DataExpert io Data engineer handbook PySpark Job Testing
- Workflow:SeleniumHQ Selenium Page Object Pattern Testing
- Workflow:Heibaiying BigData Notes Hadoop MapReduce Word Count
- Workflow:Kornia Kornia Image Feature Matching
- Workflow:Diagram of thought Diagram of thought DoT Trace Extraction
- Workflow:Dotnet Machinelearning Time Series Forecasting
- Workflow:SeleniumHQ Selenium Contributor Development Workflow
Principles
- Principle:Scikit learn Scikit learn Dataset Loading
- Principle:Arize ai Phoenix Prompt Template Rendering
- Principle:Datajuicer Data juicer Data Mapping Transformation
- Principle:Haotian liu LLaVA Benchmark Metric Computation
- Principle:Microsoft BIPIA Training Data Tokenization
- Principle:FlagOpen FlagEmbedding Contrastive Embedding Training
- Principle:Microsoft Autogen Team Deployment
- Principle:Cleanlab Cleanlab Object Detection Issue Filtering
- Principle:Bitsandbytes foundation Bitsandbytes CPU SIMD Dequantization
- Principle:Explodinggradients Ragas LLM as Judge Metric
Implementations
- Implementation:Mit han lab Llm awq LLaVA Image Processing
- Implementation:Ollama Ollama Convert GptOss
- Implementation:Datajuicer Data juicer VideoCameraCalibrationStaticMogeMapper
- Implementation:Avhz RustQuant Newton Raphson
- Implementation:Hpcaitech ColossalAI DatasetEvaluator
- Implementation:DistrictDataLabs Yellowbrick Rank2D Visualizer
- Implementation:Datahub project Datahub FilterTransformer Transform
- Implementation:MaterializeInc Materialize CLI Optbench
- Implementation:CARLA simulator Carla BasicAgent Done
- Implementation:Onnx Onnx ReferenceEvaluator Init
Heuristics
- Heuristic:Pytorch Serve Ampere Tensor Core Optimization
- Heuristic:Openai CLIP Class Name Curation
- Heuristic:NVIDIA TransformerEngine Build Optimization Tips
- Heuristic:OpenGVLab InternVL LoRA Alpha Scaling
- Heuristic:LaurentMazare Tch rs CuDNN Benchmark Mode
- Heuristic:Microsoft Onnxruntime Convergence Debugging Tips
- Heuristic:Huggingface Transformers FSDP Activation Checkpointing Tip
- Heuristic:Gretelai Gretel synthetics Memory Chunking For Normalization
- Heuristic:Pola rs Polars GPU Aggregation Join Speedup
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Before Split Leakage
Environments
- Environment:Axolotl ai cloud Axolotl Python Runtime
- Environment:Anthropics Anthropic sdk python Python SDK Core Environment
- Environment:LLMBook zh LLMBook zh github io VLLM Inference Environment
- Environment:NVIDIA NeMo Curator NVIDIA DALI
- Environment:Sgl project Sglang CUDA SM100
- Environment:Helicone Helicone Python ClickHouse Migrations
- Environment:DataTalksClub Data engineering zoomcamp Kestra Orchestration Environment
- Environment:Googleapis Python genai Vertex AI Service Account
- Environment:Neuml Txtai Docker Deployment Environment
- Environment:Microsoft Agent framework Python 3 10 Runtime