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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:Helicone Helicone Local Development Setup
- Workflow:Protectai Llm guard API Server Deployment
- Workflow:Apache Paimon Distributed Processing With Ray
- Workflow:Zai org CogVideo Diffusers Image to Video Inference
- Workflow:ContextualAI HALOs Offline SFT Alignment Pipeline
- Workflow:Neuml Txtai Semantic Search
- Workflow:Togethercomputer Together python Embeddings And Reranking
- Workflow:Eventual Inc Daft Data Lakehouse ETL
- Workflow:Microsoft Onnxruntime Python Inference Pipeline
- Workflow:SeldonIO Seldon core Production Monitoring Pipeline
Principles
- Principle:Treeverse LakeFS GC Job Execution
- Principle:MarketSquare Robotframework browser Plugin Architecture
- Principle:Dotnet Machinelearning Latent Dirichlet Allocation
- Principle:NVIDIA NeMo Curator Scene Detection and Clipping
- Principle:Microsoft DeepSpeedExamples Distributed Checkpoint Saving
- Principle:Alibaba MNN Diffusion Model Acquisition
- Principle:SeldonIO Seldon core Monitoring Component Deployment
- Principle:DistrictDataLabs Yellowbrick Visualization Rendering
- Principle:Scikit learn Scikit learn Multiclass Multioutput
- Principle:Mbzuai oryx Awesome LLM Post training Category Taxonomy Definition
Implementations
- Implementation:Mlfoundations Open flamingo Evaluate captioning
- Implementation:Googleapis Python genai GenerateContentConfig Setup
- Implementation:Scikit learn contrib Imbalanced learn Package Init
- Implementation:Scikit learn Scikit learn L1MinC
- Implementation:Microsoft Semantic kernel Brave Search TestData
- Implementation:Scikit learn Scikit learn FetchCaliforniaHousing
- Implementation:Huggingface Peft PeftModel Save Load
- Implementation:Tencent Ncnn Benchmark Timer
- Implementation:Microsoft LoRA Utils QA
- Implementation:Datahub project Datahub SemanticVersion
Heuristics
- Heuristic:Deepspeedai DeepSpeed Sequence Parallel PyTorch Version
- Heuristic:Microsoft Semantic kernel Telemetry Log Level Configuration
- Heuristic:Bigscience workshop Petals Randomized Rebalancing Intervals
- Heuristic:Huggingface Peft Warning Deprecated Bone
- Heuristic:AnswerDotAI RAGatouille FAISS Vs PyTorch KMeans Indexing
- Heuristic:ClickHouse ClickHouse Debug Build Tips
- Heuristic:Langgenius Dify Extension Initialization Order
- Heuristic:Speechbrain Speechbrain Separation Loss Filtering
- Heuristic:Fastai Fastbook Weight Decay Tuning
- Heuristic:Huggingface Alignment handbook QLoRA Learning Rate Scaling
Environments
- Environment:Langgenius Dify Docker Compose Environment
- Environment:Protectai Llm guard ONNX Runtime Acceleration
- Environment:Infiniflow Ragflow Frontend Node Environment
- Environment:Huggingface Trl Python Core Dependencies
- Environment:Kserve Kserve Python Runtime
- Environment:Unslothai Unsloth CUDA BitsAndBytes
- Environment:Farama Foundation Gymnasium MuJoCo Physics Backend
- Environment:Sgl project Sglang OpenAI
- Environment:SeldonIO Seldon core Docker Compose Local Environment
- Environment:Promptfoo Promptfoo Provider API Keys