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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:Pytorch Serve Large Model Inference
- Workflow:TobikoData Sqlmesh Github CICD automation
- Workflow:Huggingface Diffusers LoRA Finetuning
- Workflow:Intel Ipex llm QLoRA Finetuning
- Workflow:Predibase Lorax OpenAI Chat Completion
- Workflow:Haosulab ManiSkill Imitation Learning Pipeline
- Workflow:Apache Paimon Table Read Write
- Workflow:CrewAIInc CrewAI Custom Tool Integration
- Workflow:Iterative Dvc Experiment Tracking
- Workflow:Dotnet Machinelearning ONNX Model Scoring
Principles
- Principle:Nightwatchjs Nightwatch Client Initialization
- Principle:Online ml River Online Probability Distributions
- Principle:Huggingface Datasets Dataset Testing
- Principle:NVIDIA TransformerEngine HF Decoder Layer Replacement
- Principle:SeldonIO Seldon core Candidate Model Deployment
- Principle:SeldonIO Seldon core Experiment Traffic Analysis
- Principle:Apache Paimon Catalog Setup for Ray
- Principle:FlagOpen FlagEmbedding Long Video Understanding Evaluation
- Principle:Webdriverio Webdriverio AI Self Healing
- Principle:Mistralai Client python Finetuning Job Monitoring
Implementations
- Implementation:Pyro ppl Pyro UnconditionMessenger
- Implementation:Scikit learn Scikit learn FrozenEstimator
- Implementation:Truera Trulens StateGraph Compile
- Implementation:Ollama Ollama Progress Bar
- Implementation:Ray project Ray MetricConfig
- Implementation:Obss Sahi Coco2yolo
- Implementation:Avhz RustQuant Overload Operators
- Implementation:Huggingface Datasets WebDataset Builder
- Implementation:LMCache LMCache Cluster Executor
- Implementation:Eventual Inc Daft Api Annotations
Heuristics
- Heuristic:Triton inference server Server Documentation Standards
- Heuristic:DataExpert io Data engineer handbook Docker Volume Persistence Management
- Heuristic:Spotify Luigi Parameter Propagation Decorators
- Heuristic:Neuml Txtai Batch Size Defaults
- Heuristic:ARISE Initiative Robosuite XML Reset Method Tradeoff
- Heuristic:Lakeraai Pint benchmark Optimal Configuration Selection
- Heuristic:Testtimescaling Testtimescaling github io Dual JSON Sync
- Heuristic:Alibaba ROLL Numerical Stability Epsilon
- Heuristic:Getgauge Taiko Navigation Wait Strategy
- Heuristic:EvolvingLMMs Lab Lmms eval Memory Cleanup After Inference
Environments
- Environment:Lance format Lance SIMD And Platform Requirements
- Environment:Datahub project Datahub Spark Lineage Environment
- Environment:Scikit learn Scikit learn OpenMP Thread Configuration
- Environment:Tensorflow Serving GPU CUDA Environment
- Environment:ThreeSR Awesome Inference Time Scaling Git CLI Environment
- Environment:Dotnet Machinelearning Platform Architecture Support
- Environment:NVIDIA NeMo Curator NVIDIA DALI
- Environment:Sgl project Sglang CUDA Runtime
- Environment:Apache Airflow Development Contributor Environment
- Environment:Sgl project Sglang Grafana