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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:Volcengine Verl GRPO Training Pipeline
- Workflow:Google deepmind Mujoco GPU batched simulation MJX
- Workflow:Pyro ppl Pyro VAE Training
- Workflow:Ggml org Ggml Vision Model Inference
- Workflow:Infiniflow Ragflow Search Application Setup
- Workflow:Turboderp org Exllamav2 EXL2 Model Conversion
- Workflow:AUTOMATIC1111 Stable diffusion webui LoRA network application
- Workflow:Ucbepic Docetl Python API Pipeline
- Workflow:AUTOMATIC1111 Stable diffusion webui Text to image generation
- Workflow:Apache Hudi Flink MOR Compaction
Principles
- Principle:Mlc ai Mlc llm Prefill Decode Disaggregation
- Principle:AUTOMATIC1111 Stable diffusion webui Component Reuse
- Principle:Langgenius Dify App Initialization
- Principle:CarperAI Trlx Distributed Logging
- Principle:EvolvingLMMs Lab Lmms eval Metric Definition
- Principle:Triton inference server Server Engine Validation
- Principle:Apache Shardingsphere YAML Configuration Definition
- Principle:EvolvingLMMs Lab Lmms eval Results Output
- Principle:Explodinggradients Ragas Evaluation Dataset Preparation
- Principle:Datahub project Datahub V2 Client Setup
Implementations
- Implementation:Online ml River Preprocessing Imputers
- Implementation:InternLM Lmdeploy Impl 81616
- Implementation:Trailofbits Fickling Trace Run
- Implementation:Treeverse LakeFS Java SDK Model CommitList
- Implementation:Ollama Ollama Format Time
- Implementation:Apache Airflow RemoteLogIO Protocol
- Implementation:Explodinggradients Ragas Swarm Convert Messages
- Implementation:Scikit learn Scikit learn FrozenEstimator
- Implementation:Unstructured IO Unstructured Elements To Json
- Implementation:Cohere ai Cohere python JsonResponseFormat Model
Heuristics
- Heuristic:Predibase Lorax Warning Deprecated BitsAndBytes 8bit
- Heuristic:Truera Trulens Rate Limiting And Retry Strategy
- Heuristic:LLMBook zh LLMBook zh github io BF16 Mixed Precision Default
- Heuristic:Marker Inc Korea AutoRAG Module Selection Strategies
- Heuristic:CrewAIInc CrewAI LLM Provider Message Workarounds
- Heuristic:Alibaba MNN Warning Deprecated Winograd Codegen
- Heuristic:Anthropics Anthropic sdk python Model Deprecation Awareness
- Heuristic:Rapidsai Cuml Quantile Split Differences
- Heuristic:Predibase Lorax Flash Attention Backend Selection
- Heuristic:Huggingface Alignment handbook Sequence Packing Strategy
Environments
- Environment:Intel Ipex llm Portable Environment
- Environment:Microsoft LoRA PyTorch CUDA Environment
- Environment:Webdriverio Webdriverio Node Runtime Environment
- Environment:Recommenders team Recommenders GPU CUDA Environment
- Environment:Speechbrain Speechbrain Multi GPU DDP
- Environment:Dagster io Dagster GRPC Communication
- Environment:Langgenius Dify Docker Compose Environment
- Environment:Puppeteer Puppeteer Node 18 Runtime
- Environment:SqueezeAILab ETS Evaluation Python Stack
- Environment:Pola rs Polars Cloud Storage Environment