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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:Microsoft Playwright API testing
- Workflow:DevExpress Testcafe Programmatic Test Execution
- Workflow:Pytorch Serve LLM Deployment vLLM
- Workflow:Avhz RustQuant Model Calibration
- Workflow:Trailofbits Fickling PyTorch Payload Injection
- Workflow:Princeton nlp SimPO SimPO Training
- Workflow:AUTOMATIC1111 Stable diffusion webui Hypernetwork training
- Workflow:Run llama Llama index OpenAI LLM Finetuning
- Workflow:Obss Sahi Sliced Inference Pipeline
- Workflow:Guardrails ai Guardrails Server Deployment
Principles
- Principle:OpenBMB UltraFeedback Model Sampling
- Principle:AUTOMATIC1111 Stable diffusion webui Face restoration
- Principle:Eventual Inc Daft Session SQL Execution
- Principle:Tensorflow Serving JSON Request Formatting
- Principle:DataTalksClub Data engineering zoomcamp Parquet Data Ingestion
- Principle:Mlfoundations Open flamingo Benchmark Dataset Loading
- Principle:Rapidsai Cuml Ranking Evaluation
- Principle:Kornia Kornia Grayscale Conversion
- Principle:Shiyu coder Kronos Tokenizer Encoding
- Principle:Online ml River Streaming Anomaly Datasets
Implementations
- Implementation:Sktime Pytorch forecasting Tuner Lr Find
- Implementation:MaterializeInc Materialize Cargo Workspace Config
- Implementation:Mlc ai Mlc llm Logit Processor
- Implementation:Gretelai Gretel synthetics DataFrameBatch Batches To Df
- Implementation:Ollama Ollama Quantize
- Implementation:Anthropics Anthropic sdk python BetaMessage
- Implementation:Langfuse Langfuse Server Instrumentation
- Implementation:SeldonIO Seldon core Seldon Pipeline Infer
- Implementation:Explodinggradients Ragas AgentGoalAccuracy Metric
- Implementation:Sdv dev SDV HMASynthesizer Init
Heuristics
- Heuristic:Volcengine Verl FSDP Mixed Precision Init
- Heuristic:Scikit learn Scikit learn Working Memory Tuning
- Heuristic:Neuml Txtai Memory Streaming Optimization
- Heuristic:Arize ai Phoenix AIMD Concurrency Control
- Heuristic:Spcl Graph of thoughts Backoff Retry On API Errors
- Heuristic:Danijar Dreamerv3 XLA GPU Optimization Flags
- Heuristic:Duckdb Duckdb Unity Build Strategy
- Heuristic:Tensorflow Tfjs Memory Management With Tidy
- Heuristic:Sgl project Sglang Schedule Conservativeness Tuning
- Heuristic:Openai Openai node Stream Usage Interruption
Environments
- Environment:Apache Kafka Docker Build Environment
- Environment:Risingwavelabs Risingwave Rust Build Environment
- Environment:FMInference FlexLLMGen CUDA GPU
- Environment:Infiniflow Ragflow Data Source Credentials
- Environment:Datahub project Datahub Docker Runtime
- Environment:Kserve Kserve SRIOV RDMA Network
- Environment:EvolvingLMMs Lab Lmms eval GPU Compute Environment
- Environment:LMCache LMCache CUDA GPU Runtime
- Environment:Iamhankai Forest of Thought Python CUDA Runtime
- Environment:Lucidrains X transformers PyTorch CUDA