Main Page
27,667
Total Pages
1,118
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.
Connect your AI coding agent. Plug Leeroopedia into your favorite coding agent, and let it build robust AI/ML systems autonomously:
- SuperML plugin — converts your AI coding agent into an expert ML engineer with agentic memory
- Leeroopedia MCP — search over best-practices and skills of ML/AI
- Kapso — experimentation platform for autonomous AI/ML software building
Browse by Category
| 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:Promptfoo Promptfoo CI CD Integration
- Workflow:Cypress io Cypress Project Setup and Configuration
- Workflow:Gretelai Gretel synthetics ACTGAN Tabular Synthesis
- Workflow:Diagram of thought Diagram of thought DoT Iterative Reasoning
- Workflow:Spcl Graph of thoughts Custom GoT Use Case Integration
- Workflow:Microsoft Playwright API testing
- Workflow:Open compass VLMEvalKit Adding Custom Benchmark
- Workflow:Apache Flink Async Sink Lifecycle
- Workflow:Cohere ai Cohere python Text Embedding
- Workflow:Mlc ai Web llm Text Embeddings And RAG
Principles
- Principle:ClickHouse ClickHouse Lightweight JSON Parsing
- Principle:LMCache LMCache RoPE Position Recovery
- Principle:Langchain ai Langchain Tool Invocation With Tools
- Principle:Huggingface Transformers Tensor Parallel Model Loading
- Principle:LaurentMazare Tch rs TorchScript Export
- Principle:LaurentMazare Tch rs Feature Extraction
- Principle:Pyro ppl Pyro Tensor Operations
- Principle:FlagOpen FlagEmbedding Evaluation Configuration
- Principle:Ggml org Ggml GGUF File Creation
- Principle:Haotian liu LLaVA Weight Delta Application
Implementations
- Implementation:Apache Druid TransformTable
- Implementation:Trailofbits Fickling UnsafeFileError
- Implementation:Predibase Lorax Merge Adapters Function
- Implementation:Run llama Llama index BaseAutoRetriever
- Implementation:SeleniumHQ Selenium Closure UI Menu
- Implementation:CrewAIInc CrewAI Oxylabs Google Search Tool
- Implementation:Interpretml Interpret TensorTotalsBuild
- Implementation:Datajuicer Data juicer VideoCameraPoseMapper
- Implementation:Deepspeedai DeepSpeed DeepSpeedConfig Init
- Implementation:Mlc ai Mlc llm Threaded Engine Header
Heuristics
- Heuristic:ArroyoSystems Arroyo Batch Size And Backpressure
- Heuristic:Fede1024 Rust rdkafka Producer Flush Before Drop
- Heuristic:Farama Foundation Gymnasium Shared Memory Vector Env Optimization
- Heuristic:EvolvingLMMs Lab Lmms eval Distributed Padding Strategy
- Heuristic:Scikit learn Scikit learn Random State Management
- Heuristic:Huggingface Datasets Flatten Indices Performance
- Heuristic:Getgauge Taiko Implicit Wait Tuning
- Heuristic:Bitsandbytes foundation Bitsandbytes Compute Dtype Mismatch Warning
- Heuristic:ContextualAI HALOs LoRA Merge At Save
- Heuristic:Mbzuai oryx Awesome LLM Post training Depth Limit Recursion At 2
Environments
- Environment:Huggingface Trl PEFT LoRA Environment
- Environment:Vllm project Vllm CUDA Runtime
- Environment:NVIDIA DALI TensorFlow Environment
- Environment:Hpcaitech ColossalAI CUDA GPU Environment
- Environment:Apache Airflow Kubernetes Helm Environment
- Environment:Pyro ppl Pyro Python PyTorch Core
- Environment:Mit han lab Llm awq CUDA Build Environment
- Environment:Datahub project Datahub Java Build
- Environment:Deepspeedai DeepSpeed Multi Accelerator Environment
- Environment:ArroyoSystems Arroyo Object Storage