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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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|---|---|---|
| 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:Huggingface Open r1 Dataset Pass Rate Filtering
- Workflow:Bitsandbytes foundation Bitsandbytes 8bit LLM Int8 Inference
- Workflow:Cohere ai Cohere python Tool Use Agentic Chat
- Workflow:Huggingface Datasets Dataset Preprocessing
- Workflow:Gretelai Gretel synthetics LSTM Text Generation
- Workflow:Predibase Lorax Server Deployment
- Workflow:Protectai Llm guard LLM Input Output Scanning
- Workflow:Pola rs Polars Data IO and Format Conversion
- Workflow:Openai Openai python Embeddings Generation
- Workflow:Datajuicer Data juicer Distributed Ray Processing
Principles
- Principle:Alibaba ROLL Policy Gradient Optimization
- Principle:Nightwatchjs Nightwatch Page Object Structure
- Principle:Apache Hudi Read Reconciliation
- Principle:Tencent Ncnn TorchScript Export
- Principle:Axolotl ai cloud Axolotl Multimodal Processor Loading
- Principle:Huggingface Trl PPO Training Loop
- Principle:Treeverse LakeFS Java SDK OpenAPI Specification
- Principle:Isaac sim IsaacGymEnvs Randomization Parameter Definition
- Principle:Iterative Dvc Data Comparison
- Principle:Vespa engine Vespa Cloud Deployment Context
Implementations
- Implementation:MaterializeInc Materialize Parallel Workload Framework
- Implementation:Google deepmind Mujoco Platform GUI
- Implementation:Ggml org Ggml Gguf init empty
- Implementation:FlowiseAI Flowise ChatFeedback
- Implementation:Fastai Fastbook Add Datepart
- Implementation:Turboderp org Exllamav2 Quant Layers
- Implementation:Helicone Helicone ModelConfig AuthorMetadata
- Implementation:Microsoft DeepSpeedExamples HelloDeepSpeed Train Bert
- Implementation:Vllm project Vllm LLM Init
- Implementation:FlowiseAI Flowise NodeOutputHandler
Heuristics
- Heuristic:Microsoft LoRA Label Smoothing NLG
- Heuristic:Pyro ppl Pyro MCMC Warmup Adaptation
- Heuristic:Kubeflow Kubeflow Sequential Infrastructure Deployment
- Heuristic:Langchain ai Langgraph Recursion Limit Tuning
- Heuristic:ClickHouse ClickHouse Test Writing Conventions
- Heuristic:Bigscience workshop Petals Batch Splitting Threshold
- Heuristic:Langgenius Dify Extension Initialization Order
- Heuristic:Testtimescaling Testtimescaling github io Dual JSON Sync
- Heuristic:Mlc ai Web llm Low Resource Model Selection
- Heuristic:Zai org CogVideo BF16 FP16 Precision Selection
Environments
- Environment:Langgenius Dify Redis And Celery Environment
- Environment:MaterializeInc Materialize Dbt Materialize Runtime
- Environment:InternLM Lmdeploy Build From Source
- Environment:MarketSquare Robotframework browser CI GitHub Actions
- Environment:Apache Beam Java Build Environment
- Environment:Haosulab ManiSkill Motion Planning Deps
- Environment:Infiniflow Ragflow Frontend Node Environment
- Environment:Vespa engine Vespa Java 17 Build Runtime
- Environment:Marker Inc Korea AutoRAG Japanese NLP Dependencies
- Environment:Microsoft Autogen LLM Provider API Keys