Main Page
27,667
Total Pages
1,118
Workflows
7,697
Principles
16,832
Implementations
1,245
Heuristics
909
Environments
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:Ray project Ray Actor Lifecycle Management
- Workflow:Groq Groq python Chat Completion
- Workflow:Deepset ai Haystack Hybrid Document Search
- Workflow:Sail sg LongSpec GLIDE Draft Model Training
- Workflow:Microsoft LoRA NLU GLUE Finetuning
- Workflow:Dagster io Dagster ETL Pipeline
- Workflow:Openai Evals Running a single eval
- Workflow:Scikit learn Scikit learn Supervised Classification
- Workflow:Kubeflow Pipelines Pipeline Control Flow
- Workflow:Openclaw Openclaw Channel Connection
Principles
- Principle:Neuml Txtai Agent LLM Configuration
- Principle:Langchain ai Langgraph Checkpoint Encryption
- Principle:Sgl project Sglang Distributed Environment Setup
- Principle:SeldonIO Seldon core Production Traffic Monitoring
- Principle:Pytorch Serve vLLM Model Configuration
- Principle:Pytorch Serve API Integration Testing
- Principle:Mbzuai oryx Awesome LLM Post training Data Export Pipeline
- Principle:OpenBMB UltraFeedback Instruction Sampling
- Principle:Pyro ppl Pyro Information Form Gaussian
- Principle:Intel Ipex llm LLM Serving With FastAPI
Implementations
- Implementation:Vllm project Vllm Prometheus Metrics Endpoint
- Implementation:Risingwavelabs Risingwave SourceTypeE
- Implementation:Openai Openai python Transcriptions Create
- Implementation:Microsoft Autogen AssistantAgent Init Swarm
- Implementation:PrefectHQ Prefect Flow Decorator
- Implementation:Ggml org Ggml Sycl mmvq
- Implementation:Evidentlyai Evidently Dataset From Pandas With Descriptors
- Implementation:Dagster io Dagster MonthlyPartitionsDefinition API
- Implementation:MarketSquare Robotframework browser Device Descriptors Keywords
- Implementation:Open compass VLMEvalKit ConcatVideoDataset
Heuristics
- Heuristic:CarperAI Trlx Batch Size Tuning
- Heuristic:Lakeraai Pint benchmark Use Balanced Accuracy For Imbalanced Datasets
- Heuristic:Fastai Fastbook Discriminative Learning Rates
- Heuristic:Getgauge Taiko Navigation Wait Strategy
- Heuristic:Princeton nlp SimPO Concatenated Forward Pass
- Heuristic:Rapidsai Cuml Quantile Split Differences
- Heuristic:Mlc ai Mlc llm OpenCL Memory Floor Workaround
- Heuristic:Langfuse Langfuse Eval Loop Prevention
- Heuristic:Googleapis Python genai LRO Polling Backoff
- Heuristic:Ggml org Ggml Thread Count Selection
Environments
- Environment:Huggingface Peft Optional Quantization Backends
- Environment:Spotify Luigi Python Runtime
- Environment:Openai Openai agents python Python 3 9 Runtime
- Environment:Rapidsai Cuml CUDA GPU
- Environment:CARLA simulator Carla Simulation Runtime
- Environment:Microsoft LoRA NLU Conda Environment
- Environment:Cypress io Cypress Browser Requirements
- Environment:Ollama Ollama CGo Runtime
- Environment:Vespa engine Vespa CMake Cpp23 Build Environment
- Environment:Interpretml Interpret Visualization Environment