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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:Eventual Inc Daft Multimodal AI Batch Inference
- Workflow:Intel Ipex llm vLLM Serving
- Workflow:Apache Shardingsphere Metadata DDL Refresh
- Workflow:Apache Dolphinscheduler Workflow Execution Lifecycle
- Workflow:ARISE Initiative Robomimic Hyperparameter Sweep
- Workflow:TobikoData Sqlmesh Incremental model development
- Workflow:Langgenius Dify Plugin Management
- Workflow:Norrrrrrr lyn WAInjectBench Image Prompt Injection Detection
- Workflow:Unstructured IO Unstructured Chunking And Embedding
- Workflow:Infiniflow Ragflow Document Processing Pipeline
Principles
- Principle:Huggingface Datasets HDF5 Dataset Building
- Principle:Tensorflow Tfjs Pooling Operations
- Principle:Mlflow Mlflow Prompt Template Design
- Principle:Eventual Inc Daft Lazy Dependency Loading
- Principle:EvolvingLMMs Lab Lmms eval Baseline Comparison
- Principle:Gretelai Gretel synthetics Synthetic Data Quality Evaluation
- Principle:EvolvingLMMs Lab Lmms eval Dataset Preparation
- Principle:Tencent Ncnn Bounding Box Decoding
- Principle:Openai Evals Language Modeling Evaluation
- Principle:Apache Airflow Provider Documentation
Implementations
- Implementation:SeleniumHQ Selenium Closure Uri Utils
- Implementation:PrefectHQ Prefect Docs Site Configuration
- Implementation:Datajuicer Data juicer VideoFaceBlurMapper
- Implementation:Arize ai Phoenix Span Helpers
- Implementation:Allenai Open instruct Save Final Model
- Implementation:BerriAI Litellm Passthrough API
- Implementation:Lm sys FastChat Split Long Conversation
- Implementation:Scikit learn Scikit learn LinearModelLoss
- Implementation:SeleniumHQ Selenium ModuleGenerator
- Implementation:ArroyoSystems Arroyo Time Series Graph
Heuristics
- Heuristic:MarketSquare Robotframework browser Docker Chrome Security
- Heuristic:Intel Ipex llm CCL Distributed Training Tips
- Heuristic:Cohere ai Cohere python Pydantic V1 V2 Compatibility
- Heuristic:Cypress io Cypress V8 Snapshot Memory
- Heuristic:Facebookresearch Habitat lab Resume State Config Override
- Heuristic:NVIDIA NeMo Aligner Warning Deprecated Repository
- Heuristic:Lm sys FastChat Tokenizer Offset Correction
- Heuristic:Run llama Llama index Worker Count Configuration
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix CuDNN Benchmark Scale Width
- Heuristic:ContextualAI HALOs LoRA Merge At Save
Environments
- Environment:Unstructured IO Unstructured All Docs
- Environment:PrefectHQ Prefect Python Runtime Environment
- Environment:Microsoft Agent framework Python 3 10 Runtime
- Environment:VainF Torch Pruning PyTorch Python Core
- Environment:Pyro ppl Pyro Visualization Tools
- Environment:ArroyoSystems Arroyo Kubernetes Deployment
- Environment:Fastai Fastbook CUDA GPU Environment
- Environment:Vllm project Vllm Distributed
- Environment:Google deepmind Mujoco C Build Environment
- Environment:Nautechsystems Nautilus trader Databento API Credentials