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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.
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| 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 |
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Workflows
- Workflow:Snorkel team Snorkel Slice Aware Training
- Workflow:Microsoft DeepSpeedExamples ZeRO Inference
- Workflow:Facebookresearch Audiocraft Model Export And Deployment
- Workflow:Avhz RustQuant Analytic Option Pricing
- Workflow:Webdriverio Webdriverio Cloud Service Integration
- Workflow:Danijar Dreamerv3 Train And Evaluate
- Workflow:Puppeteer Puppeteer Browser Installation And Management
- Workflow:Unstructured IO Unstructured Document Partitioning
- Workflow:Iamhankai Forest of Thought CGDM Post Processing
- Workflow:LLMBook zh LLMBook zh github io Supervised Finetuning
Principles
- Principle:Google deepmind Mujoco Rendering Context Setup
- Principle:Recommenders team Recommenders News Recommendation Evaluation
- Principle:AnswerDotAI RAGatouille Index Update
- Principle:Mistralai Client python Tool Call Parsing
- Principle:Ggml org Llama cpp Base64 Encoding
- Principle:Romsto Speculative Decoding Speculative Decoding
- Principle:Mistralai Client python OCR Document Processing
- Principle:SeleniumHQ Selenium Driver Service Lifecycle
- Principle:OpenRLHF OpenRLHF Rule Based Reward Functions
- Principle:Mit han lab Llm awq NVILA Model Construction
Implementations
- Implementation:Triton inference server Server TritonPythonModel BLS
- Implementation:NVIDIA DALI EfficientDet HParams
- Implementation:Interpretml Interpret TensorTotalsBuild
- Implementation:Risingwavelabs Risingwave Makefile Task Runner
- Implementation:Mit han lab Llm awq W8A8OF16LinearDynamicInputScale
- Implementation:Datahub project Datahub MetadataChangeProposalWrapper Java
- Implementation:Apache Spark StreamingContextState
- Implementation:Lance format Lance Java PQBuildParams
- Implementation:Anthropics Anthropic sdk python Anthropic Client Init
- Implementation:Scikit learn Scikit learn SequentialFeatureSelector
Heuristics
- Heuristic:Deepset ai Haystack Logging Auto Detection
- Heuristic:Puppeteer Puppeteer Timeout Hierarchy
- Heuristic:Mlc ai Web llm Tokenizer JSON Preference
- Heuristic:AUTOMATIC1111 Stable diffusion webui Cross Attention Memory Slicing
- Heuristic:Vibrantlabsai Ragas Analytics Silent Failure Pattern
- Heuristic:Recommenders team Recommenders SAR Cold Start Items
- Heuristic:Fede1024 Rust rdkafka Transaction Error Recovery
- Heuristic:Kserve Kserve NCCL RoCE Auto Detection
- Heuristic:DevExpress Testcafe MacOS Browser Launch Serialization
- Heuristic:Speechbrain Speechbrain Gradient Clipping Strategy
Environments
- Environment:DataTalksClub Data engineering zoomcamp PySpark Batch Environment
- Environment:Truera Trulens OpenAI Provider Environment
- Environment:Sktime Pytorch forecasting Core Python Dependencies
- Environment:Mit han lab Llm awq Flash Attention Environment
- Environment:OpenRLHF OpenRLHF Flash Attention Environment
- Environment:Apache Druid Integration Test Docker
- Environment:Bentoml BentoML NVIDIA GPU Resource
- Environment:Pytorch Serve CUDA GPU Environment
- Environment:Apache Flink Python PyFlink Environment
- Environment:Hpcaitech ColossalAI ColossalQA RAG Environment