Main Page
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:Norrrrrrr lyn WAInjectBench LLaVA Finetuning
- Workflow:Huggingface Optimum Model Export
- Workflow:ContextualAI HALOs Model Evaluation
- Workflow:Mlc ai Web llm Structured Output Generation
- Workflow:Getgauge Taiko Headless Browser Testing
- Workflow:Dagster io Dagster Modal Serverless Pipeline
- Workflow:Apache Shardingsphere Cluster Mode Initialization
- Workflow:Ucbepic Docetl Playground Interactive Development
- Workflow:Webdriverio Webdriverio Custom Plugin Development
- Workflow:Neuml Txtai Model Training
Principles
- Principle:Googleapis Python genai Training Dataset Preparation
- Principle:Kserve Kserve PVC Model Download
- Principle:Ggml org Llama cpp Android Inference
- Principle:MaterializeInc Materialize Pipeline YAML Generation
- Principle:Groq Groq python Request Option Types
- Principle:Princeton nlp SimPO Dataset Loading and Mixing
- Principle:Norrrrrrr lyn WAInjectBench Model Serialization
- Principle:Google deepmind Dm control Manipulation Environment Loading
- Principle:Liu00222 Open Prompt Injection Input Preprocessing
- Principle:Cleanlab Cleanlab Span Classification Issue Detection
Implementations
- Implementation:Microsoft Onnxruntime Torch NN Module Construction
- Implementation:Explodinggradients Ragas Tokenizers Module
- Implementation:Evidentlyai Evidently Legacy UI Config
- Implementation:Predibase Lorax Flash BERT Modeling
- Implementation:LMCache LMCache GDS Backend
- Implementation:Bitsandbytes foundation Bitsandbytes GlobalOptimManager
- Implementation:Haosulab ManiSkill Register Env Decorator
- Implementation:Gretelai Gretel synthetics ACTGAN Init
- Implementation:NVIDIA NeMo Curator ParquetWriter
- Implementation:Risingwavelabs Risingwave Graph Algorithms
Heuristics
- Heuristic:Puppeteer Puppeteer Timeout Hierarchy
- Heuristic:Huggingface Alignment handbook DDP Bias Buffer Ignore
- Heuristic:Arize ai Phoenix Environment Variable Precedence
- Heuristic:Datajuicer Data juicer Partition Size Tuning
- Heuristic:Fastai Fastbook Dropout Regularization
- Heuristic:Openai Whisper Log Probability Threshold
- Heuristic:Volcengine Verl FSDP Mixed Precision Init
- Heuristic:ContextualAI HALOs TF32 Matmul Acceleration
- Heuristic:Apache Kafka Container JMX RMI Port Tip
- Heuristic:Huggingface Transformers Label Smoothing Multi Label Warning
Environments
- Environment:Bigscience workshop Petals Python Transformers
- Environment:Openai Whisper Numba
- Environment:Huggingface Alignment handbook Python Datasets
- Environment:BerriAI Litellm Docker Deployment
- Environment:Langchain ai Langchain Anthropic API Credentials
- Environment:Apache Beam Java Build Environment
- Environment:Unslothai Unsloth CUDA VLLM
- Environment:Infiniflow Ragflow Python Runtime
- Environment:Kubeflow Pipelines Kubernetes Cluster
- Environment:Tensorflow Serving Kubernetes Deployment Environment