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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:Duckdb Duckdb Building From Source
- Workflow:Deepspeedai DeepSpeed Pipeline Parallel Training
- Workflow:MaterializeInc Materialize Docker Image Build
- Workflow:Cohere ai Cohere python Tool Use Agentic Chat
- Workflow:Cohere ai Cohere python Semantic Search With Rerank
- Workflow:Evidentlyai Evidently Data Drift Monitoring
- Workflow:Speechbrain Speechbrain Speaker Embedding Training
- Workflow:Huggingface Trl PPO RLHF Training
- Workflow:Hiyouga LLaMA Factory Full Parameter SFT
- Workflow:Explodinggradients Ragas Prompt Evaluation And Iteration
Principles
- Principle:FMInference FlexLLMGen DeepSpeed Initialization
- Principle:Datajuicer Data juicer Partition Size Optimization
- Principle:Ggml org Llama cpp Speculative Generation
- Principle:HKUDS AI Trader LLM Invocation
- Principle:Kornia Kornia ONNX Sequential Pipeline
- Principle:Datahub project Datahub Docker Prerequisites Validation
- Principle:Huggingface Datasets Dataset Hub Upload
- Principle:Cohere ai Cohere python Embed Response Processing
- Principle:Kornia Kornia Grayscale Conversion
- Principle:Cleanlab Cleanlab CleanLearning Initialization
Implementations
- Implementation:Microsoft LoRA Check Copies
- Implementation:Bentoml BentoML SDK Validators
- Implementation:Mlc ai Mlc llm Preshard
- Implementation:Datajuicer Data juicer CalibrateResponseMapper
- Implementation:Mlflow Mlflow Dev Environment Setup
- Implementation:Kubeflow Pipelines Dsl Condition
- Implementation:BerriAI Litellm Cooldown Cache
- Implementation:FlowiseAI Flowise ItemCard
- Implementation:ARISE Initiative Robosuite TrajUtils
- Implementation:SeleniumHQ Selenium Closure Dom Forms
Heuristics
- Heuristic:Haifengl Smile Quarkus Async Context Handling
- Heuristic:Huggingface Open r1 Test Batch Early Termination
- Heuristic:Huggingface Trl QLoRA BF16 Adapter Casting
- Heuristic:Facebookresearch Habitat lab Mini Batch Environment Divisibility
- Heuristic:NVIDIA NeMo Curator GPU Memory Resource Allocation
- Heuristic:Princeton nlp Tree of thought llm Global State Token Counting
- Heuristic:Dagster io Dagster Retry Strategy Configuration
- Heuristic:Trailofbits Fickling Injection Mode Selection
- Heuristic:Gretelai Gretel synthetics Binary Encoder Cutoff
- Heuristic:Datajuicer Data juicer Operator Fusion Rules
Environments
- Environment:Turboderp org Exllamav2 Flash Attention Backend
- Environment:Hpcaitech ColossalAI ColossalChat Training Environment
- Environment:Huggingface Diffusers Quantization Environment
- Environment:ArroyoSystems Arroyo Kubernetes Deployment
- Environment:Apache Kafka JVM Runtime Environment
- Environment:Lance format Lance SIMD And Platform Requirements
- Environment:InternLM Lmdeploy Python Dependencies
- Environment:Spcl Graph of thoughts OpenAI API Access
- Environment:Sgl project Sglang CUDA
- Environment:Unstructured IO Unstructured All Docs