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:PacktPublishing LLM Engineers Handbook LLM Finetuning
- Workflow:FlowiseAI Flowise Chatbot Deployment
- Workflow:Wandb Weave SDK Release
- Workflow:Wandb Weave LLM Integration Tracing
- Workflow:Datajuicer Data juicer Text Data Processing Pipeline
- Workflow:Mlflow Mlflow Prompt Management
- Workflow:Groq Groq python Text Embedding
- Workflow:Anthropics Anthropic sdk python Tool Use Integration
- Workflow:Sdv dev SDV Sequential data synthesis
- Workflow:Teamcapybara Capybara Element Finding And Interaction
Principles
- Principle:Triton inference server Server TRT LLM Environment Setup
- Principle:Apache Shardingsphere Configuration Object Conversion
- Principle:Huggingface Datasets Eval Dataset Building
- Principle:Huggingface Diffusers ControlNet Output Refinement
- Principle:Mbzuai oryx Awesome LLM Post training Data Export Pipeline
- Principle:LaurentMazare Tch rs Batch Evaluation
- Principle:Deepspeedai DeepSpeed AutoTP Engine Init
- Principle:Heibaiying BigData Notes HBase Connection Creation
- Principle:Apache Druid Supervisor Operational Management
- Principle:Turboderp org Exllamav2 CLI Model Initialization
Implementations
- Implementation:Apache Druid SampleForTransform
- Implementation:Hiyouga LLaMA Factory Kernel Interface
- Implementation:OpenRLHF OpenRLHF DeepspeedStrategy save model
- Implementation:Huggingface Datasets Load Dataset For Verification
- Implementation:Pytorch Serve IntermediateLayerGetter
- Implementation:Microsoft Onnxruntime SaveCheckpoint
- Implementation:CrewAIInc CrewAI RAG YouTube Video Loader
- Implementation:CARLA simulator Carla Actor Class
- Implementation:Protectai Llm guard Scan prompt
- Implementation:EvolvingLMMs Lab Lmms eval Lmms Generate Until
Heuristics
- Heuristic:Neuml Txtai MacOS Stability Workarounds
- Heuristic:Haosulab ManiSkill Initial Pose Performance
- Heuristic:Scikit learn contrib Imbalanced learn KNeighbors Selection Tips
- Heuristic:Axolotl ai cloud Axolotl Memory Optimization Tips
- Heuristic:Webdriverio Webdriverio Exponential Backoff Retry
- Heuristic:Langgenius Dify Extension Initialization Order
- Heuristic:Zai org CogVideo DeepSpeed Checkpoint Conversion Tips
- Heuristic:NVIDIA TransformerEngine Build Optimization Tips
- Heuristic:TA Lib Ta lib python NaN Propagation Behavior
- Heuristic:Microsoft Semantic kernel Experimental Feature Opt In
Environments
- Environment:Anthropics Anthropic sdk python Azure Foundry Environment
- Environment:Online ml River Build Toolchain
- Environment:Vllm project Vllm ROCm
- Environment:Speechbrain Speechbrain PyTorch CUDA Runtime
- Environment:SqueezeAILab ETS Evaluation Python Stack
- Environment:Ray project Ray CI Build Matrix Environment
- Environment:Kubeflow Pipelines Python SDK
- Environment:Ggml org Ggml CUDA GPU Environment
- Environment:Bigscience workshop Petals Python Transformers
- Environment:Lance format Lance SIMD And Platform Requirements