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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.
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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 |
Explore Pages
Workflows
- Workflow:Openai Openai node Chat Completion
- Workflow:Langchain ai Langchain Streaming Responses
- Workflow:Huggingface Trl Supervised Finetuning
- Workflow:Kornia Kornia Image Stitching Panorama
- Workflow:Recommenders team Recommenders News Recommendation NRMS
- Workflow:Cleanlab Cleanlab Multiannotator Consensus
- Workflow:Openai Openai python Chat Completion
- Workflow:Alibaba MNN Python Model Inference
- Workflow:Huggingface Open r1 Dataset Pass Rate Filtering
- Workflow:Datajuicer Data juicer Text Data Processing Pipeline
Principles
- Principle:Alibaba ROLL MCoreAdapter Distributed Training
- Principle:Marker Inc Korea AutoRAG Deployment Mode Selection
- Principle:Sail sg LongSpec GLIDE Model Initialization
- Principle:Dagster io Dagster LLM Fine Tuning Orchestration
- Principle:Ggml org Llama cpp Embedding Normalization
- Principle:DataExpert io Data engineer handbook Graph Vertex Generation
- Principle:Risingwavelabs Risingwave Iceberg Sink Integration
- Principle:Ray project Ray Docker Image Building
- Principle:Tensorflow Serving Resource Tracking
- Principle:Recommenders team Recommenders ALS Recommendation Generation
Implementations
- Implementation:Run llama Llama index LLM Selectors
- Implementation:NVIDIA TransformerEngine Float8BlockwiseTensor
- Implementation:Treeverse LakeFS MergeIntoBranch With Hooks
- Implementation:Predibase Lorax Bloom Modeling
- Implementation:CARLA simulator Carla WalkerAIController Class
- Implementation:Microsoft LoRA DART Test Dataset
- Implementation:Online ml River FeatureExtraction Agg
- Implementation:Webdriverio Webdriverio SpecReporter Types
- Implementation:Run llama Llama index LLMQuestionGenerator
- Implementation:SeleniumHQ Selenium Closure UI ToolbarFactory
Heuristics
- Heuristic:Microsoft DeepSpeedExamples SuperOffload NUMA Binding
- Heuristic:Sktime Pytorch forecasting Target Normalization Transforms
- Heuristic:Testtimescaling Testtimescaling github io Skip CI Commit Tag
- Heuristic:Fede1024 Rust rdkafka Sensitive Config Sanitization
- Heuristic:NVIDIA NeMo Aligner Adam State Offloading Tip
- Heuristic:AnswerDotAI RAGatouille Auto Batch Size For Long Documents
- Heuristic:Google deepmind Mujoco Solver Selection Guide
- Heuristic:Sktime Pytorch forecasting Encoder Decoder Length Limits
- Heuristic:ArroyoSystems Arroyo Checkpoint Interval Tuning
- Heuristic:Datajuicer Data juicer Checkpoint Resumption Strategy
Environments
- Environment:NVIDIA NeMo Aligner TensorRT LLM Acceleration Environment
- Environment:Huggingface Datasets Python PyArrow Core
- Environment:NVIDIA NeMo Curator Python Linux Base
- Environment:Mistralai Client python Python SDK Environment
- Environment:Mlflow Mlflow Docker Container Environment
- Environment:Dagster io Dagster DAGSTER HOME Configuration
- Environment:Junyanz Pytorch CycleGAN and pix2pix Python PyTorch Runtime
- Environment:Microsoft LoRA NLG Eval External Tools
- Environment:Bitsandbytes foundation Bitsandbytes CUDA GPU Runtime
- Environment:Anthropics Anthropic sdk python Python SDK Core Environment