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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:Kserve Kserve Deploying InferenceService
- Workflow:Neuml Txtai Semantic Search
- Workflow:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
- Workflow:Mlc ai Mlc llm REST API Serving
- Workflow:Open compass VLMEvalKit Adding Custom VLM
- Workflow:Mlfoundations Open flamingo Data Preparation
- Workflow:TA Lib Ta lib python Abstract API Usage
- Workflow:Trailofbits Fickling PyTorch Payload Injection
- Workflow:Fastai Fastbook NLP Text Classification
- Workflow:Openai Evals Building a custom eval
Principles
- Principle:Triton inference server Server Config Optimization
- Principle:Cleanlab Cleanlab Token Issue Display
- Principle:Tensorflow Serving Signature Definition
- Principle:Huggingface Open r1 Benchmark Evaluation
- Principle:Eventual Inc Daft Data Display
- Principle:LMCache LMCache KV Cache Retrieval
- Principle:Apache Spark K8s Resource Configuration
- Principle:Turboderp org Exllamav2 Tokenizer Initialization
- Principle:Pytorch Serve LLM Text Generation
- Principle:Kubeflow Pipelines Parallel Iteration
Implementations
- Implementation:SeleniumHQ Selenium PageLoadStrategy
- Implementation:Guardrails ai Guardrails Open Inference
- Implementation:Pytorch Serve Torchserve Grpc Client
- Implementation:Infiniflow Ragflow DocumentService Run
- Implementation:Explodinggradients Ragas Metric Get Correlation
- Implementation:Open compass VLMEvalKit CCOCR OCR Evaluator
- Implementation:Isaac sim IsaacGymEnvs FactoryTask Training Loop
- Implementation:Ggml org Llama cpp Peg Parser
- Implementation:Ggml org Llama cpp GGUF Split
- Implementation:AUTOMATIC1111 Stable diffusion webui Network restore weights
Heuristics
- Heuristic:LaurentMazare Tch rs Hidden Dimension Alignment
- Heuristic:ThreeSR Awesome Inference Time Scaling Empty Venue Default Tip
- Heuristic:Langfuse Langfuse Fail Open Resilience Pattern
- Heuristic:Groq Groq python Timeout Configuration
- Heuristic:Unstructured IO Unstructured Strategy Fallback Chain
- Heuristic:Getgauge Taiko Implicit Wait Tuning
- Heuristic:Openai Openai agents python Tool Choice Reset Prevents Loops
- Heuristic:SeleniumHQ Selenium Thread Safety With ThreadGuard
- Heuristic:Getgauge Taiko Element Actionability Checks
- Heuristic:Iterative Dvc Run Cache Restoration Strategy
Environments
- Environment:Unstructured IO Unstructured Profiling Tools
- Environment:DataExpert io Data engineer handbook Spark Iceberg Docker Environment
- Environment:Openai CLIP PyTorch CUDA Runtime
- Environment:Huggingface Peft Optional Quantization Backends
- Environment:Apache Paimon Optional Extensions
- Environment:Bitsandbytes foundation Bitsandbytes HPU Gaudi Runtime
- Environment:Deepset ai Haystack GPU Device Environment
- Environment:Kubeflow Kubeflow Kubectl Kustomize CLI Environment
- Environment:DataTalksClub Data engineering zoomcamp Kafka Confluent Environment
- Environment:Interpretml Interpret Native Libebm Environment