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:Mlflow Mlflow Model Logging and Registry
- Workflow:Neuml Txtai Pipeline Workflow Chaining
- Workflow:Dotnet Machinelearning ONNX Model Scoring
- Workflow:Lucidrains X transformers Encoder Decoder Sequence to Sequence
- Workflow:Confident ai Deepeval Component Level LLM Evaluation
- Workflow:OWASP Www project top 10 for large language model applications Agentic Security Assessment
- Workflow:Google deepmind Dm control Locomotion Task Setup
- Workflow:Facebookresearch Audiocraft EnCodec Compression Training
- Workflow:Microsoft LoRA NLU GLUE Finetuning
- Workflow:Pola rs Polars Streaming Large Dataset Processing
Principles
- Principle:AUTOMATIC1111 Stable diffusion webui Postprocessing script execution
- Principle:Speechbrain Speechbrain Perceptual Quality Evaluation
- Principle:Openclaw Openclaw Diagnostic Repair
- Principle:Scikit learn Scikit learn Partial Dependence Analysis
- Principle:Pytorch Serve DeepSpeed Inference
- Principle:Apache Dolphinscheduler Task Reassignment
- Principle:Apache Dolphinscheduler Connection Pool Management
- Principle:Infiniflow Ragflow Dataflow Pipeline
- Principle:Langchain ai Langchain Provider API Invocation
- Principle:Apache Kafka JMH Benchmark Execution
Implementations
- Implementation:BerriAI Litellm Literal AI Logger
- Implementation:Huggingface Datatrove JapaneseTokenizer
- Implementation:Fastai Fastbook Lr Find
- Implementation:Cleanlab Cleanlab Datalab Find Issues
- Implementation:Roboflow Rf detr RFDETR Platform Models
- Implementation:Openai Openai agents python Runner Resume Pattern
- Implementation:FlagOpen FlagEmbedding AbsEmbedder Encode
- Implementation:Sgl project Sglang Engine Generate Multimodal
- Implementation:Recommenders team Recommenders Surprise Utils
- Implementation:Sktime Pytorch forecasting mLSTMNetwork
Heuristics
- Heuristic:Rapidsai Cuml Dask Data Partitioning
- Heuristic:Ray project Ray Autoscaling Delay Tuning
- Heuristic:Lakeraai Pint benchmark Use Balanced Accuracy For Imbalanced Datasets
- Heuristic:Pola rs Polars Avoid Lambda In Aggregation
- Heuristic:OpenBMB UltraFeedback Position Bias Mitigation
- Heuristic:Google research Deduplicate text datasets Ulimit File Descriptors For Merge
- Heuristic:ARISE Initiative Robomimic Checkpoint Selection Strategy
- Heuristic:Apache Airflow Task Idempotency Pattern
- Heuristic:InternLM Lmdeploy OOM Troubleshooting
- Heuristic:Snorkel team Snorkel NLP Preprocessor Memoization
Environments
- Environment:Dotnet Machinelearning Native Build Toolchain
- Environment:Sgl project Sglang Kubernetes
- Environment:Roboflow Rf detr Roboflow Deployment Credentials
- Environment:LMCache LMCache VLLM Serving Engine
- Environment:Fastai Fastbook CUDA GPU Environment
- Environment:Shiyu coder Kronos HuggingFace Hub Access
- Environment:Snorkel team Snorkel Dask Distributed
- Environment:Langfuse Langfuse Redis 7 Queue Cache
- Environment:Apache Hudi Java Maven Build Environment
- Environment:Unstructured IO Unstructured All Docs