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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 |
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Workflows
- Workflow:DataTalksClub Data engineering zoomcamp dbt Analytics Transformation
- Workflow:FlagOpen FlagEmbedding Benchmark Evaluation
- Workflow:Scikit learn Scikit learn Hyperparameter Tuning
- Workflow:Promptfoo Promptfoo CI CD Integration
- Workflow:OpenHands OpenHands Conversation Lifecycle Management
- Workflow:Huggingface Diffusers Model Quantization
- Workflow:SeleniumHQ Selenium Chrome DevTools Protocol Integration
- Workflow:Openai Openai node Chat Completion
- Workflow:TA Lib Ta lib python Installation And Setup
- Workflow:DataExpert io Data engineer handbook PySpark Job Testing
Principles
- Principle:Huggingface Transformers Device Mesh Topology
- Principle:Scikit learn Scikit learn Model Instantiation
- Principle:Lm sys FastChat DeepSpeed LoRA Training
- Principle:Triton inference server Server Inference Correctness Testing
- Principle:LaurentMazare Tch rs Proximal Policy Optimization
- Principle:Huggingface Trl Reward Function Definition
- Principle:NVIDIA NeMo Aligner CAI Dataset Generation
- Principle:Alibaba MNN Neural Network Inference
- Principle:FMInference FlexLLMGen Sharded Mixture Of Experts
- Principle:Mlc ai Web llm Tool Definition
Implementations
- Implementation:Huggingface Peft GraloraConfig
- Implementation:TobikoData Sqlmesh Context Render Evaluate Fetchdf
- Implementation:Bentoml BentoML Depends Function
- Implementation:Webdriverio Webdriverio CrashReporter Class
- Implementation:Mlc ai Mlc llm CLI Main
- Implementation:LaurentMazare Tch rs VecGymEnv
- Implementation:Astronomer Astronomer cosmos Gcp Cloud Run Job Operators
- Implementation:Mit han lab Llm awq NVILAQwen2
- Implementation:FlowiseAI Flowise CompStyleOverride
- Implementation:Cypress io Cypress Lerna Nx Build
Heuristics
- Heuristic:Cypress io Cypress V8 Snapshot Memory
- Heuristic:Risingwavelabs Risingwave LSM Compaction Tuning
- Heuristic:Cohere ai Cohere python HTTP Retry Backoff Strategy
- Heuristic:Protectai Modelscan Exit Code Conventions
- Heuristic:FMInference FlexLLMGen Weight Compression 4bit
- Heuristic:Triton inference server Server Concurrency Throughput Rule
- Heuristic:Axolotl ai cloud Axolotl Memory Optimization Tips
- Heuristic:Puppeteer Puppeteer Firefox Single Process Workaround
- Heuristic:Lm sys FastChat Greedy Decoding Temperature Threshold
- Heuristic:Langgenius Dify Workflow Draft Hash Sync
Environments
- Environment:Hiyouga LLaMA Factory Distributed Training Environment
- Environment:Pola rs Polars Python Runtime Environment
- Environment:Trailofbits Fickling PyTorch
- Environment:Pytorch Serve Python PyTorch Runtime
- Environment:Alibaba MNN HuggingFace Ecosystem Environment
- Environment:EvolvingLMMs Lab Lmms eval API Credentials Environment
- Environment:Helicone Helicone Python ClickHouse Migrations
- Environment:Sgl project Sglang ROCm
- Environment:Openclaw Openclaw Docker Deployment Environment
- Environment:Farama Foundation Gymnasium Python 3 10 Runtime