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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:LMCache LMCache P2P KV Cache Sharing
- Workflow:Trailofbits Fickling PyTorch Format Identification
- Workflow:Risingwavelabs Risingwave Streaming ETL Pipeline
- Workflow:LaurentMazare Tch rs Transfer Learning
- Workflow:Kubeflow Pipelines Iterative Model Training
- Workflow:Huggingface Datasets Dataset Streaming
- Workflow:Langfuse Langfuse Trace ingestion pipeline
- Workflow:Triton inference server Server LLM Deployment With TRT LLM
- Workflow:Microsoft Semantic kernel Agent Conversation And Orchestration
- Workflow:Protectai Llm guard Scanner Benchmarking
Principles
- Principle:Openai Evals Solver Configuration Patterns
- Principle:Scikit learn Scikit learn Naive Bayes Classification
- Principle:Apache Paimon Ingestion Verification
- Principle:Webdriverio Webdriverio ServiceArchitecture
- Principle:Huggingface Optimum Dummy Input Generation
- Principle:SqueezeAILab ETS Hyperparameter Configuration
- Principle:LLMBook zh LLMBook zh github io SFT Training Execution
- Principle:Openai Openai agents python Model Execution
- Principle:LLMBook zh LLMBook zh github io High Throughput LLM Inference
- Principle:Pytorch Serve Metrics Monitoring
Implementations
- Implementation:Evidentlyai Evidently Legacy Sentiment Feature
- Implementation:Lance format Lance PackedEncoding
- Implementation:Iterative Dvc Output Add
- Implementation:Ollama Ollama ConvertModel
- Implementation:Scikit learn Scikit learn Make Pipeline
- Implementation:Facebookresearch Habitat lab SimpleCNN
- Implementation:FlagOpen FlagEmbedding LLM Embedder LM Model
- Implementation:NVIDIA NeMo Aligner Train GPT SPIN
- Implementation:Iterative Dvc Match Defs Renderers
- Implementation:Infiniflow Ragflow Time Utils
Heuristics
- Heuristic:Isaac sim IsaacGymEnvs Determinism Performance Tradeoff
- Heuristic:Zai org CogVideo Decord Import Order Bug
- Heuristic:Predibase Lorax Quantization Backend Selection
- Heuristic:Neuml Txtai MacOS OpenMP Workaround
- Heuristic:Lance format Lance Encoding Compression Thresholds
- Heuristic:Kubeflow Kubeflow Issue Routing To Sub Repos
- Heuristic:SeleniumHQ Selenium Thread Safety With ThreadGuard
- Heuristic:Danijar Dreamerv3 Free Nats KL Thresholding
- Heuristic:Vibrantlabsai Ragas Warning Deprecated V1 Metrics
- Heuristic:Openclaw Openclaw Conservative Error Retry Classification
Environments
- Environment:Google research Deduplicate text datasets Python HuggingFace Environment
- Environment:Kserve Kserve Leader Worker Set
- Environment:Unslothai Unsloth Python Transformers
- Environment:Huggingface Datasets TensorFlow Integration
- Environment:Neuml Txtai Python Core Environment
- Environment:Intel Ipex llm RAG LangChain Environment
- Environment:Haosulab ManiSkill Motion Planning Deps
- Environment:Elevenlabs Elevenlabs python Python Websockets
- Environment:Microsoft LoRA NLU Conda Environment
- Environment:Mit han lab Llm awq CUDA Build Environment