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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. | 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 | '''Connect your AI coding agent.''' Plug Leeroopedia into your favorite coding agent, and let it build robust AI/ML systems autonomously: | ||
''' | * [https://github.com/Leeroo-AI/superml '''SuperML plugin'''] — converts your AI coding agent into an expert ML engineer with agentic memory | ||
* [https://github.com/Leeroo-AI/leeroopedia-mcp '''Leeroopedia MCP'''] — search over best-practices and skills of ML/AI | |||
* [https://github.com/leeroo-ai/kapso '''Kapso'''] — experimentation platform for autonomous AI/ML software building | |||
== Browse by Category == | == Browse by Category == | ||
Latest revision as of 11:45, 14 March 2026
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:Treeverse LakeFS Garbage Collection
- Workflow:Apache Flink Stream File Compaction
- Workflow:Princeton nlp SimPO SimPO Training
- Workflow:Heibaiying BigData Notes Storm Topology Development
- Workflow:Speechbrain Speechbrain Speaker Embedding Training
- Workflow:Huggingface Datasets Format Conversion
- Workflow:Deepseek ai Janus Rectified Flow Image Generation
- Workflow:Elevenlabs Elevenlabs python Text to Speech Generation
- Workflow:Onnx Onnx Reference Evaluation
- Workflow:Open compass VLMEvalKit API Model Evaluation
Principles
- Principle:Zai org CogVideo Temporal Autoencoding
- Principle:Duckdb Duckdb Unicode Processing
- Principle:Facebookresearch Audiocraft Masked Parallel Token Generation
- Principle:Langgenius Dify WebAppPublishing
- Principle:Isaac sim IsaacGymEnvs Task Configuration Files
- Principle:Pyro ppl Pyro Neural Transport
- Principle:Bitsandbytes foundation Bitsandbytes Global Optimizer Configuration
- Principle:CrewAIInc CrewAI Task Definition
- Principle:Tensorflow Tfjs Model Serialization
- Principle:Langgenius Dify Production Deployment
Implementations
- Implementation:CARLA simulator Carla InvertedAI Traffic Example
- Implementation:Googleapis Python genai FunctionDeclaration And Tool
- Implementation:Langfuse Langfuse CreatePrompt
- Implementation:Isaac sim IsaacGymEnvs ADRVecTask Adr Update
- Implementation:Pyro ppl Pyro MarkovMessenger
- Implementation:OpenGVLab InternVL Streamlit Controller
- Implementation:NVIDIA NeMo Curator ASR Nemo Stage
- Implementation:Princeton nlp Tree of thought llm Naive Solve
- Implementation:OWASP Www project top 10 for large language model applications CandidateTemplate Submit
- Implementation:Huggingface Datatrove PerplexityStats
Heuristics
- Heuristic:ContextualAI HALOs FSDP Sampling Workaround
- Heuristic:Cypress io Cypress Xvfb Display Gotcha
- Heuristic:Spotify Luigi Batch Parameter Aggregation
- Heuristic:Treeverse LakeFS Retry Backoff Configuration
- Heuristic:Intel Ipex llm LoRA Target All Linear Layers
- Heuristic:FlagOpen FlagEmbedding Gradient Checkpointing Tip
- Heuristic:Zai org CogVideo BF16 FP16 Precision Selection
- Heuristic:NVIDIA DALI NVJPEG Memory Preallocation
- Heuristic:OpenHands OpenHands Streamable HTTP Over SSE
- Heuristic:Openai Openai agents python MCP Server Lifecycle Management
Environments
- Environment:HKUDS AI Trader API Credentials
- Environment:Datajuicer Data juicer Python Runtime Environment
- Environment:ThreeSR Awesome Inference Time Scaling Git CLI Environment
- Environment:OpenBMB UltraFeedback OpenAI API Environment
- Environment:Microsoft Autogen Studio Server Environment
- Environment:Bitsandbytes foundation Bitsandbytes XPU SYCL Runtime
- Environment:Langchain ai Langchain Unit Test Network Isolation
- Environment:Microsoft DeepSpeedExamples SuperOffload Runtime
- Environment:EvolvingLMMs Lab Lmms eval Server Mode Environment
- Environment:Deepspeedai DeepSpeed CPU Environment