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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:Apache Hudi Flink Batch Incremental Read
- Workflow:Snorkel team Snorkel Weak Supervision Pipeline
- Workflow:Predibase Lorax Server Deployment
- Workflow:Ollama Ollama Model Registry Operations
- Workflow:DataTalksClub Data engineering zoomcamp Docker PostgreSQL Data Ingestion
- Workflow:Eventual Inc Daft Data Lakehouse ETL
- Workflow:Lucidrains X transformers Non Autoregressive Masked Generation
- Workflow:Intel Ipex llm LoRA Finetuning
- Workflow:Mit han lab Llm awq TinyChat LLM Deployment
- Workflow:Huggingface Optimum Automatic Tensor Parallelization
Principles
- Principle:Lucidrains X transformers Autoregressive Wrapper Setup
- Principle:LLMBook zh LLMBook zh github io Loss Masking Tokenization
- Principle:Microsoft BIPIA Dataset Preparation
- Principle:Microsoft Agent framework Edge Condition Pattern
- Principle:Ggml org Llama cpp Apple Platform Build
- Principle:Ray project Ray Application Deployment
- Principle:Langfuse Langfuse Dataset Item Processing
- Principle:Alibaba MNN Operator Fusion Codegen
- Principle:NVIDIA NeMo Aligner Knowledge Distillation Training
- Principle:Cohere ai Cohere python Server Sent Events Decoding
Implementations
- Implementation:Kubeflow Kubeflow Profile CRD RBAC Setup
- Implementation:Arize ai Phoenix Legacy Evaluators
- Implementation:Microsoft Playwright Client Events
- Implementation:Cohere ai Cohere python ToolCallV2 Model
- Implementation:LMCache LMCache SegmentTokenDatabase Process Tokens
- Implementation:Deepspeedai DeepSpeed PipelineEngine Train Batch
- Implementation:Ollama Ollama Convert Gemma
- Implementation:Dagster io Dagster Sensor Decorator
- Implementation:Microsoft Onnxruntime CUDA MixedPrecisionScale
- Implementation:Truera Trulens Feedback Tool Selection
Heuristics
- Heuristic:NVIDIA NeMo Aligner PPO Critic Warmup Tip
- Heuristic:Langfuse Langfuse Eval Loop Prevention
- Heuristic:Microsoft Onnxruntime Memory Recomputation Optimization
- Heuristic:Mit han lab Llm awq Kernel Selection Thresholds
- Heuristic:Treeverse LakeFS S3 Multipart Size Constraint
- Heuristic:Mage ai Mage ai Parallel Sink Concurrency Limit
- Heuristic:Rapidsai Cuml Quantile Split Differences
- Heuristic:DistrictDataLabs Yellowbrick Scikit Learn API Compatibility
- Heuristic:MarketSquare Robotframework browser MacOS Sonoma Startup Delay
- Heuristic:PeterL1n BackgroundMattingV2 Mixed Precision Training
Environments
- Environment:Mistralai Client python Realtime Transcription Environment
- Environment:Tensorflow Tfjs Node Native Runtime
- Environment:Langchain ai Langchain Python 3 10 Runtime
- Environment:Vllm project Vllm AWS ECR
- Environment:BerriAI Litellm Observability Stack
- Environment:Mistralai Client python Python SDK Environment
- Environment:Open compass VLMEvalKit Python Runtime Environment
- Environment:Apache Kafka JVM Runtime Environment
- Environment:Vllm project Vllm NVIDIA CUDA
- Environment:Apache Paimon Optional Extensions