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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:Togethercomputer Together python Fine Tuning
- Workflow:Duckdb Duckdb Benchmark Execution
- Workflow:MarketSquare Robotframework browser API Testing via Browser
- Workflow:PeterL1n BackgroundMattingV2 Model export
- Workflow:Tencent Ncnn Object Detection Inference
- Workflow:Mlflow Mlflow Model Serving
- Workflow:Marker Inc Korea AutoRAG Pipeline Deployment
- Workflow:Neuml Txtai API Deployment
- Workflow:Openai Evals Running an eval set
- Workflow:Pytorch Serve LLM Deployment vLLM
Principles
- Principle:BerriAI Litellm Integration Selection
- Principle:ContextualAI HALOs Feedback Labeling
- Principle:Marker Inc Korea AutoRAG Query Generation
- Principle:Isaac sim IsaacGymEnvs Checkpoint Export and Logging
- Principle:NVIDIA DALI Custom Operator Build System
- Principle:Scikit learn contrib Imbalanced learn Cluster Centroid Under Sampling
- Principle:Turboderp org Exllamav2 Bit Allocation Optimization
- Principle:NVIDIA NeMo Curator File Partitioning
- Principle:Huggingface Datasets Pandas Conversion
- Principle:Googleapis Python genai Client Initialization
Implementations
- Implementation:OpenRLHF OpenRLHF DeepspeedStrategy save model
- Implementation:Run llama Llama index BaseSelector
- Implementation:Huggingface Trl PPOTrainer Train
- Implementation:OpenGVLab InternVL LLaVA Model Worker
- Implementation:InternLM Lmdeploy Serve Proxy
- Implementation:Ucbepic Docetl BaseSchemas
- Implementation:Openai Openai python CLI Entry Point
- Implementation:Google deepmind Dm control TCP Initializer
- Implementation:Datajuicer Data juicer ImageAestheticsFilter
- Implementation:Langchain ai Langchain FireworksLLM
Heuristics
- Heuristic:Openai Evals Event Batching Configuration
- Heuristic:Mbzuai oryx Awesome LLM Post training Depth Limit Recursion At 2
- Heuristic:Openclaw Openclaw Cache TTL Asymmetric Strategy
- Heuristic:AnswerDotAI RAGatouille Searcher Configuration By Collection Size
- Heuristic:Axolotl ai cloud Axolotl Memory Optimization Tips
- Heuristic:NVIDIA NeMo Curator GPU Memory Resource Allocation
- Heuristic:Alibaba MNN Weight Quantization Strategy
- Heuristic:Google research Deduplicate text datasets Ulimit File Descriptors For Merge
- Heuristic:Microsoft BIPIA Torch Compile Platform Guard
- Heuristic:Scikit learn contrib Imbalanced learn KNeighbors Selection Tips
Environments
- Environment:ChenghaoMou Text dedup Python 3 12 Environment
- Environment:Google research Deduplicate text datasets Python HuggingFace Environment
- Environment:Duckdb Duckdb Release Publishing Env
- Environment:Ucbepic Docetl Python Runtime
- Environment:TA Lib Ta lib python Python Build Environment
- Environment:Junyanz Pytorch CycleGAN and pix2pix DDP Multi GPU
- Environment:Kornia Kornia CUDA GPU Environment
- Environment:Mbzuai oryx Awesome LLM Post training Python Requests
- Environment:Sail sg LongSpec Inference Environment
- Environment:Duckdb Duckdb Code Generation Tools