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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:Apache Flink File Source Pipeline
- Workflow:Teamcapybara Capybara Custom Selector Definition
- Workflow:Openai CLIP Linear probe evaluation
- Workflow:Langgenius Dify Knowledge Base Creation
- Workflow:Promptfoo Promptfoo Custom Provider Integration
- Workflow:FlagOpen FlagEmbedding Embedder Inference
- Workflow:Heibaiying BigData Notes Hadoop MapReduce Word Count
- Workflow:NVIDIA NeMo Aligner Supervised Fine Tuning
- Workflow:Hpcaitech ColossalAI Model Evaluation
- Workflow:OWASP Www project top 10 for large language model applications Vulnerability Entry Development
Principles
- Principle:Explodinggradients Ragas Swarm Message Conversion
- Principle:Mlflow Mlflow Error Handling and Exception Hierarchy
- Principle:Cypress io Cypress Monorepo Dependency Management
- Principle:DataTalksClub Data engineering zoomcamp Dlt Resource Definition
- Principle:NVIDIA NeMo Aligner CAI Dataset Generation
- Principle:Isaac sim IsaacGymEnvs Skeletal Motion Representation
- Principle:Google deepmind Mujoco Thread Pool Management
- Principle:Huggingface Diffusers Pipeline Level Quantization
- Principle:Online ml River Online Preprocessing
- Principle:FlowiseAI Flowise Chatflow Persistence
Implementations
- Implementation:Lm sys FastChat Train Baichuan
- Implementation:Alibaba MNN Protobuf Descriptor H
- Implementation:BerriAI Litellm S3 Logger
- Implementation:Huggingface Datatrove LanguageFilter
- Implementation:Googleapis Python genai Interactions Transform
- Implementation:LMCache LMCache Infinistore Connector
- Implementation:Microsoft Autogen Studio Environment Settings
- Implementation:Langfuse Langfuse Nested JSON Seed Data
- Implementation:Microsoft BIPIA Prompt Construction Pipeline
- Implementation:PeterL1n BackgroundMattingV2 Torch checkpoint ops
Heuristics
- Heuristic:Romsto Speculative Decoding Seed Fixing For Reproducibility
- Heuristic:Cleanlab Cleanlab Multiprocessing Platform Strategy
- Heuristic:Apache Paimon File Sizing and Split Planning
- Heuristic:Tensorflow Serving Resource Estimation Rules
- Heuristic:LaurentMazare Tch rs Device Fallback Pattern
- Heuristic:Confident ai Deepeval Timeout and Retry Tuning
- Heuristic:Rapidsai Cuml GPU Cache Alignment
- Heuristic:LLMBook zh LLMBook zh github io IGNORE INDEX Loss Masking
- Heuristic:Googleapis Python genai LRO Polling Backoff
- Heuristic:ContextualAI HALOs TF32 Matmul Acceleration
Environments
- Environment:Volcengine Verl Megatron Core Environment
- Environment:ChenghaoMou Text dedup Suffix Array External Tools
- Environment:Eric mitchell Direct preference optimization PyTorch CUDA
- Environment:Sgl project Sglang Python Dependencies
- Environment:Promptfoo Promptfoo Python Runtime
- Environment:Mlc ai Web llm WebGPU Browser Runtime
- Environment:PacktPublishing LLM Engineers Handbook AWS SageMaker GPU Environment
- Environment:Googleapis Python genai Python 3 10 SDK Runtime
- Environment:Mlflow Mlflow MLflow Server Environment
- Environment:Allenai Open instruct Ray Distributed