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:Deepspeedai DeepSpeed Hybrid Engine RLHF Training
- Workflow:Mistralai Client python Text Embeddings
- Workflow:Openai Openai agents python Tool Integrated Agent
- Workflow:Mlc ai Web llm Basic Chat Completion
- Workflow:Princeton nlp Tree of thought llm Baseline comparison
- Workflow:LaurentMazare Tch rs Transfer Learning
- Workflow:Facebookresearch Habitat lab PointNav PPO Training
- Workflow:EvolvingLMMs Lab Lmms eval Server Mode Evaluation
- Workflow:Cohere ai Cohere python Streaming Chat
- Workflow:Pyro ppl Pyro Discrete Enumeration
Principles
- Principle:Ggml org Ggml Detection Post Processing
- Principle:OpenHands OpenHands Nested Server Configuration
- Principle:Anthropics Anthropic sdk python Tool Execution
- Principle:Online ml River Streaming Signal Processing
- Principle:Axolotl ai cloud Axolotl Dataset Preparation
- Principle:Avdvg InjectGuard Malicious Dataset Loading
- Principle:ARISE Initiative Robomimic Observation Extraction
- Principle:Mlflow Mlflow Metric Logging
- Principle:Togethercomputer Together python Audio Translation
- Principle:Ggml org Llama cpp Chat Message Parsing
Implementations
- Implementation:Infiniflow Ragflow DelimiterFormField Component
- Implementation:Puppeteer Puppeteer CDPSession
- Implementation:CrewAIInc CrewAI Crew Train Method
- Implementation:Haosulab ManiSkill PDBaseVelController
- Implementation:Datajuicer Data juicer PipelineDAG
- Implementation:Groq Groq python Embedding Input Pattern
- Implementation:FlowiseAI Flowise DashboardMenu
- Implementation:Vespa engine Vespa IndexingProcessor ErrorHandling
- Implementation:Wandb Weave WeaveClient Get Calls
- Implementation:Ggml org Llama cpp TTS Outetts
Heuristics
- Heuristic:NVIDIA DALI Memory Pool Tuning
- Heuristic:PeterL1n BackgroundMattingV2 Training Batch Size And Resolution
- Heuristic:Elevenlabs Elevenlabs python Client Timeout Configuration
- Heuristic:Neuml Txtai Memory Streaming Optimization
- Heuristic:Promptfoo Promptfoo Adaptive Concurrency Tuning
- Heuristic:Huggingface Alignment handbook Global Batch Size Scaling
- Heuristic:Datajuicer Data juicer Partition Size Tuning
- Heuristic:ArroyoSystems Arroyo Checkpoint Interval Tuning
- Heuristic:PacktPublishing LLM Engineers Handbook DPO Training Configuration
- Heuristic:Speechbrain Speechbrain Separation Loss Filtering
Environments
- Environment:Mage ai Mage ai Singer SDK And Joblib Runtime
- Environment:Norrrrrrr lyn WAInjectBench Conda Python 39 CUDA Environment
- Environment:Rapidsai Cuml Python RAPIDS Stack
- Environment:Sgl project Sglang GitHub Actions
- Environment:Openai Whisper Numba
- Environment:Openai Openai node Node 20 Runtime
- Environment:Astronomer Astronomer cosmos Python Airflow Runtime
- Environment:Datahub project Datahub Java 17 Backend Environment
- Environment:Dagster io Dagster GRPC Communication
- Environment:Neuml Txtai Python Core Dependencies