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:MaterializeInc Materialize Release Process
- Workflow:Zai org CogVideo Diffusers Image to Video Inference
- Workflow:DistrictDataLabs Yellowbrick Model Selection and Tuning
- Workflow:Alibaba ROLL RLVR Training Pipeline
- Workflow:CrewAIInc CrewAI Custom Tool Integration
- Workflow:Google research Deduplicate text datasets Wiki40B TFDS deduplication
- Workflow:Vibrantlabsai Ragas Prompt Optimization
- Workflow:Huggingface Peft Prompt Tuning Classification
- Workflow:Eventual Inc Daft Multimodal AI Batch Inference
- Workflow:Gretelai Gretel synthetics ACTGAN Tabular Synthesis
Principles
- Principle:Snorkel team Snorkel Labeling Function Definition
- Principle:Google deepmind Mujoco JIT Compilation
- Principle:SeleniumHQ Selenium CDP Session Cleanup
- Principle:Fede1024 Rust rdkafka Transactional Producer Setup
- Principle:Facebookresearch Audiocraft Finetuning Checkpoint Preparation
- Principle:Huggingface Datatrove FastText Classification Filtering
- Principle:Deepspeedai DeepSpeed Pipeline Engine Init
- Principle:NVIDIA NeMo Aligner Reward Model Architecture Selection
- Principle:Apache Paimon Vector Search Query Construction
- Principle:MarketSquare Robotframework browser Development Environment Setup
Implementations
- Implementation:Langgenius Dify Service Annotation
- Implementation:Mage ai Mage ai Google Ads Ads Schema
- Implementation:Vespa engine Vespa SimpleNormalizer Normalize
- Implementation:MaterializeInc Materialize CLI Optbench
- Implementation:Sdv dev SDV Range Init
- Implementation:Predibase Lorax Flash DBRX Modeling
- Implementation:Mlflow Mlflow GraphQL Schema Autogeneration
- Implementation:Treeverse LakeFS Java SDK Model PullRequestBasic
- Implementation:Promptfoo Promptfoo Sidebars Config
- Implementation:Apache Druid ExploreHeaderBar
Heuristics
- Heuristic:Mistralai Client python Resource Context Manager
- Heuristic:Huggingface Datatrove Thundering Herd Prevention
- Heuristic:Shiyu coder Kronos Two Stage Finetuning Strategy
- Heuristic:Mlc ai Mlc llm FlashInfer KV Cache Fallback
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Identity Loss Color Preservation
- Heuristic:Huggingface Alignment handbook LoRA Rank Selection
- Heuristic:Datajuicer Data juicer Partition Size Tuning
- Heuristic:Haosulab ManiSkill GPU Memory Buffer Tuning
- Heuristic:OWASP Www project top 10 for large language model applications Warning Deprecated Markdown To PDF Convert
- Heuristic:FlagOpen FlagEmbedding Warning Deprecated Search Demo
Environments
- Environment:ARISE Initiative Robomimic HuggingFace Hub Dependencies
- Environment:Ray project Ray Java Build Environment
- Environment:Mit han lab Llm awq VILA Multimodal Environment
- Environment:Huggingface Datatrove Inference GPU Environment
- Environment:Puppeteer Puppeteer Cross Platform Browser Environment
- Environment:Lm sys FastChat GPU CUDA Inference
- Environment:Avdvg InjectGuard CUDA GPU
- Environment:SeleniumHQ Selenium Grid Deployment Environment
- Environment:Openai Openai python Realtime WebSocket
- Environment:Recommenders team Recommenders GPU CUDA Environment