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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:Facebookresearch Habitat lab Agent Benchmarking
- Workflow:Openai Evals Creating a model graded eval
- Workflow:LLMBook zh LLMBook zh github io LLM Pretraining
- Workflow:DataTalksClub Data engineering zoomcamp Kestra ETL Pipeline
- Workflow:Anthropics Anthropic sdk python Extended Thinking Reasoning
- Workflow:Kubeflow Kubeflow Contributing To Kubeflow
- Workflow:Datahub project Datahub Metadata Ingestion Pipeline
- Workflow:Apache Hudi Flink Streaming Write
- Workflow:Apache Airflow Scheduler Operation and Task Execution
- Workflow:LLMBook zh LLMBook zh github io Inference and Quantization
Principles
- Principle:Confident ai Deepeval OpenAI Agents Instrumentation
- Principle:Getgauge Taiko Element Assertion
- Principle:Spcl Graph of thoughts Thought Generation
- Principle:Promptfoo Promptfoo Plugin Selection
- Principle:Fastai Fastbook Text Data Preparation
- Principle:SeldonIO Seldon core Model Lifecycle Management
- Principle:Dotnet Machinelearning Text Featurization
- Principle:Microsoft Playwright Validate API Responses
- Principle:Tensorflow Serving gRPC Service Stubs
- Principle:Eventual Inc Daft Python Package Configuration
Implementations
- Implementation:ARISE Initiative Robosuite TuneCamera
- Implementation:Datajuicer Data juicer QueryIntentDetectionMapper
- Implementation:OpenBMB UltraFeedback Principle Selection
- Implementation:Treeverse LakeFS Java SDK Model PullRequest
- Implementation:Google deepmind Mujoco MJWarp Constraint
- Implementation:Microsoft LoRA Legacy Finetune Trainer Seq2Seq
- Implementation:Open compass VLMEvalKit MMHelix Bridges Eval
- Implementation:NVIDIA DALI Sphinx Config
- Implementation:Datajuicer Data juicer ImageTextSimilarityFilter
- Implementation:Huggingface Trl GRPOTrainer Init
Heuristics
- Heuristic:Apache Spark K8s Container Patterns
- Heuristic:Dotnet Machinelearning AutoML SMAC Dimension Limit
- Heuristic:BerriAI Litellm Batch Size Flush Interval Tuning
- Heuristic:Marker Inc Korea AutoRAG OpenAI Rate Limit Mitigation
- Heuristic:Tencent Ncnn Lightmode Memory Optimization
- Heuristic:Allenai Open instruct BFloat16 Training
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Identity Loss Color Preservation
- Heuristic:Togethercomputer Together python Repetition Penalty Conflict
- Heuristic:Huggingface Peft Warning Deprecated Bone
- Heuristic:TobikoData Sqlmesh Forward Only Safety
Environments
- Environment:Testtimescaling Testtimescaling github io Semantic Scholar API
- Environment:Microsoft BIPIA OpenAI API Environment
- Environment:Turboderp org Exllamav2 Build Toolchain
- Environment:OpenRLHF OpenRLHF DeepSpeed Environment
- Environment:TobikoData Sqlmesh Web UI Stack
- Environment:DataExpert io Data engineer handbook Flink Kafka Docker Environment
- Environment:SqueezeAILab ETS Multi GPU Sglang Runtime
- Environment:Alibaba MNN ARM Mobile Environment
- Environment:Arize ai Phoenix Python Runtime
- Environment:Tensorflow Tfjs Node Native Runtime