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1,118
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:Kubeflow Kubeflow Release Management
- Workflow:Huggingface Datasets Format Conversion
- Workflow:Scikit learn Scikit learn Hyperparameter Tuning
- Workflow:Lm sys FastChat Vicuna SFT Finetuning
- Workflow:Online ml River Online Clustering
- Workflow:Anthropics Anthropic sdk python Streaming Message Interaction
- Workflow:Apache Dolphinscheduler RPC Service Communication
- Workflow:MaterializeInc Materialize Integration Test Development
- Workflow:ThreeSR Awesome Inference Time Scaling Automated Paper Addition
- Workflow:Neuml Txtai Agent Orchestration
Principles
- Principle:Microsoft LoRA NLU Environment Setup
- Principle:ARISE Initiative Robomimic Configuration Setup
- Principle:Ucbepic Docetl Peripheral Context Gathering
- Principle:Lm sys FastChat Seq2Seq SFT Training
- Principle:Pola rs Polars Query Plan Inspection
- Principle:Openclaw Openclaw Plugin Installation
- Principle:Openai Openai node Parsed API Invocation
- Principle:Puppeteer Puppeteer Screenshot Capture
- Principle:Isaac sim IsaacGymEnvs Inference Configuration
- Principle:Helicone Helicone Cost Computation
Implementations
- Implementation:Facebookresearch Habitat lab BaseTrainer
- Implementation:Intel Ipex llm ReLoRA Finetuning
- Implementation:InternLM Lmdeploy Gemm SmemCopy
- Implementation:Mlc ai Mlc llm Popen Server
- Implementation:Pyro ppl Pyro MiniPyro
- Implementation:Mage ai Mage ai Chargebee Common Customers Schema
- Implementation:NVIDIA NeMo Aligner MegatronSDXL DRaFTP Model
- Implementation:Mistralai Client python ToolMessage Model
- Implementation:Datahub project Datahub HasStructuredProperties Mixin
- Implementation:Cohere ai Cohere python FinetuningClient Create
Heuristics
- Heuristic:Intel Ipex llm LoRA Target All Linear Layers
- Heuristic:Unslothai Unsloth Gradient Checkpointing Modes
- Heuristic:Dagster io Dagster Lazy Import Pattern
- Heuristic:Avdvg InjectGuard Embedding Normalization Cosine Equivalence
- Heuristic:Gretelai Gretel synthetics Memory Chunking For Normalization
- Heuristic:Scikit learn Scikit learn Convergence Warning Handling
- Heuristic:Huggingface Alignment handbook EOS Token Alignment
- Heuristic:Trailofbits Fickling Injection Mode Selection
- Heuristic:Openclaw Openclaw Cache TTL Asymmetric Strategy
- Heuristic:Huggingface Datasets Shuffle Buffer Sizing
Environments
- Environment:Axolotl ai cloud Axolotl Python Runtime
- Environment:Lance format Lance Cloud Storage Credentials
- Environment:Openai Openai agents python OpenAI API Credentials
- Environment:Mlc ai Mlc llm Python Serving Environment
- Environment:Nightwatchjs Nightwatch Node 18 Runtime
- Environment:Infiniflow Ragflow Python Runtime
- Environment:Dotnet Machinelearning TorchSharp Environment
- Environment:Ggml org Ggml Python Tooling Environment
- Environment:Microsoft LoRA NLG Eval External Tools
- Environment:Huggingface Datasets Lance Dependencies