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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:Bitsandbytes foundation Bitsandbytes 8bit Optimizer Training
- Workflow:Zai org CogVideo SAT Finetuning
- Workflow:Arize ai Phoenix LLM Evaluation Pipeline
- Workflow:Datahub project Datahub Python Metadata Emission
- Workflow:Astronomer Astronomer cosmos Watcher execution mode
- Workflow:Bigscience workshop Petals Prompt Tuning Chatbot
- Workflow:Predibase Lorax Structured JSON Output
- Workflow:Huggingface Transformers 3D Parallel Distributed Training
- Workflow:Openai Openai python Embeddings Generation
- Workflow:PacktPublishing LLM Engineers Handbook LLM Finetuning
Principles
- Principle:BerriAI Litellm Client Integration
- Principle:DataExpert io Data engineer handbook DataFrame Equality Assertion
- Principle:Alibaba ROLL Distillation Validation
- Principle:Protectai Modelscan Scan Report Generation
- Principle:FMInference FlexLLMGen Autotuning Experiment Scheduling
- Principle:Deepseek ai Janus Noise Initialization
- Principle:Microsoft Agent framework Response Aggregation
- Principle:PrefectHQ Prefect Dbt Command Execution
- Principle:Kserve Kserve PD Scheduler Routing
- Principle:Ggml org Llama cpp Multimodal Language Model Loading
Implementations
- Implementation:Lance format Lance Dataset Delete
- Implementation:FlowiseAI Flowise Sidebar
- Implementation:Ggml org Ggml Hexagon rope ops
- Implementation:Lm sys FastChat Elo Analysis
- Implementation:InternLM Lmdeploy AttentionCtaMap
- Implementation:Ray project Ray MessagePackSerializer Encode
- Implementation:Ollama Ollama Readline History
- Implementation:Microsoft Semantic kernel OpenApi TestPlugin DocumentV2
- Implementation:DataTalksClub Data engineering zoomcamp Confluent CSV Producer
- Implementation:Facebookresearch Habitat lab PacmanTrainer
Heuristics
- Heuristic:Huggingface Alignment handbook DPO Beta Selection
- Heuristic:Princeton nlp SimPO Left Truncation Strategy
- Heuristic:Guardrails ai Guardrails Guard History Memory Management
- Heuristic:Sail sg LongSpec NCCL Distributed Settings
- Heuristic:Liu00222 Open Prompt Injection Defense Strategy Selection
- Heuristic:Mistralai Client python Stream File Uploads
- Heuristic:Treeverse LakeFS Retry Backoff Configuration
- Heuristic:Sktime Pytorch forecasting Batch Size Selection
- Heuristic:Huggingface Alignment handbook Sequence Packing Strategy
- Heuristic:Datajuicer Data juicer Batch Size Adaptation
Environments
- Environment:ContextualAI HALOs CUDA 12 1 Training Environment
- Environment:HKUDS AI Trader API Credentials
- Environment:Datahub project Datahub Docker Runtime
- Environment:NVIDIA NeMo Curator Video Codec Stack
- Environment:Kserve Kserve Leader Worker Set
- Environment:Astronomer Astronomer cosmos Cloud Provider Dependencies
- Environment:Haosulab ManiSkill GPU CUDA Simulation
- Environment:Helicone Helicone Node 20 TypeScript Runtime
- Environment:Huggingface Open r1 CUDA Environment
- Environment:Mlc ai Mlc llm CUDA GPU Environment