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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:ArroyoSystems Arroyo UDF Development
- Workflow:Googleapis Python genai Image Generation Pipeline
- Workflow:Openclaw Openclaw Initial Setup And Onboarding
- Workflow:Farama Foundation Gymnasium Vectorized Environment Training
- Workflow:Dotnet Machinelearning GenAI Causal LM Inference
- Workflow:OpenRLHF OpenRLHF Reward Model Training
- Workflow:Turboderp org Exllamav2 Text Generation
- Workflow:Alibaba MNN Model Conversion Pipeline
- Workflow:Bentoml BentoML Multi Model Composition
- Workflow:Microsoft DeepSpeedExamples VisualChat Multimodal Training
Principles
- Principle:Bentoml BentoML Model Loading From Store
- Principle:Axolotl ai cloud Axolotl Model Loading Quantized
- Principle:Mistralai Client python Stream Lifecycle Management
- Principle:Spcl Graph of thoughts Document Merging Prompt Design
- Principle:PeterL1n BackgroundMattingV2 Pretrained weight transfer
- Principle:Alibaba ROLL Megatron LoRA Adaptation
- Principle:Neuml Txtai Pipeline Definition
- Principle:Fastai Fastbook Embedding Analysis
- Principle:Apache Paimon Distributed Data Operations
- Principle:Lm sys FastChat Long Conversation Splitting
Implementations
- Implementation:FMInference FlexLLMGen DeepSpeed Autotuning Utils
- Implementation:Turboderp org Exllamav2 AVX Mathfun
- Implementation:LMCache LMCache XPU Connector
- Implementation:Huggingface Datatrove TokenDataset
- Implementation:Pola rs Polars CategoricalPhysical
- Implementation:Infiniflow Ragflow AdminService
- Implementation:Rapidsai Cuml Include Checker
- Implementation:Norrrrrrr lyn WAInjectBench Image Folder Data Schema
- Implementation:Deepspeedai DeepSpeed Evoformer MMA Accum Lambda
- Implementation:Elevenlabs Elevenlabs python TtsConversationalConfigInput
Heuristics
- Heuristic:Vespa engine Vespa KStemmer Dictionary Loading
- Heuristic:FMInference FlexLLMGen Offloading Percent Tuning
- Heuristic:Gretelai Gretel synthetics GPU Memory Allow Growth
- Heuristic:Lance format Lance Warning Deprecated Java APIs
- Heuristic:Speechbrain Speechbrain Separation Loss Filtering
- Heuristic:Apache Hudi Compaction Scheduling Safety
- Heuristic:Evidentlyai Evidently Statistical Test Auto Selection
- Heuristic:DevExpress Testcafe Assertion Retry Timing
- Heuristic:Dagster io Dagster Lazy Import Pattern
- Heuristic:NVIDIA TransformerEngine Attention Backend Selection
Environments
- Environment:NVIDIA DALI PyTorch Environment
- Environment:Farama Foundation Gymnasium JAX Functional Backend
- Environment:Gretelai Gretel synthetics PyTorch CUDA Environment
- Environment:Rapidsai Cuml Dask Distributed
- Environment:Dotnet Machinelearning Native Build Toolchain
- Environment:Predibase Lorax Python Server Dependencies
- Environment:SeldonIO Seldon core GPU Inference Environment
- Environment:ARISE Initiative Robomimic PyTorch CUDA Environment
- Environment:OpenGVLab InternVL PEFT LoRA
- Environment:HKUDS AI Trader MCP Services