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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:Evidentlyai Evidently LLM Evaluation Monitoring
- Workflow:OpenGVLab InternVL Preference Optimization
- Workflow:Groq Groq python Batch Processing
- Workflow:Openai Openai agents python Human In The Loop Approval
- Workflow:Dagster io Dagster DSPy Optimization
- Workflow:Sktime Pytorch forecasting NBeats Univariate Forecasting
- Workflow:Promptfoo Promptfoo Red Team Security Scan
- Workflow:Sktime Pytorch forecasting DeepAR Probabilistic Forecasting
- Workflow:Mistralai Client python Function Calling
- Workflow:ARISE Initiative Robomimic Training Policy From Demonstrations
Principles
- Principle:Tensorflow Tfjs Tensor Merging
- Principle:Promptfoo Promptfoo Data Migration
- Principle:Ollama Ollama HardwareDiscovery
- Principle:Apache Paimon Lance Table Configuration
- Principle:Openai Evals Result Recording
- Principle:Getgauge Taiko Script Execution
- Principle:Ucbepic Docetl Output Management
- Principle:Marker Inc Korea AutoRAG Pipeline Runner Initialization
- Principle:Zai org CogVideo PatchGAN Discriminator
- Principle:Apache Beam Windmill Connection Setup
Implementations
- Implementation:SeleniumHQ Selenium Closure Dom TagIterator
- Implementation:Open compass VLMEvalKit MMHelix Eulero Eval
- Implementation:InternLM Lmdeploy AttentionQuantization
- Implementation:Scikit learn contrib Imbalanced learn make imbalance
- Implementation:Marker Inc Korea AutoRAG Make Single Content QA
- Implementation:Apache Hudi SchemaEvolvingRowDataProjection Project
- Implementation:Open compass VLMEvalKit ChartMimic Text Evaluator
- Implementation:Online ml River Time Series Evaluate Func
- Implementation:Interpretml Interpret AutoVisualizeProvider
- Implementation:Apache Flink CompactCoordinator ProcessElement
Heuristics
- Heuristic:Eric mitchell Direct preference optimization FSDP Batch Size Per GPU
- Heuristic:Googleapis Python genai LRO Polling Backoff
- Heuristic:Apache Dolphinscheduler Netty Thread Sizing
- Heuristic:Cleanlab Cleanlab Multiprocessing Platform Strategy
- Heuristic:HKUDS AI Trader Sortino Ratio Capping
- Heuristic:Langchain ai Langchain Error Context Preservation
- Heuristic:Mlfoundations Open flamingo Gradient Clipping Max Norm
- Heuristic:Huggingface Alignment handbook Gradient Checkpointing Use Cache
- Heuristic:Bigscience workshop Petals Short Inference Pool Merging
- Heuristic:Webdriverio Webdriverio Exponential Backoff Retry
Environments
- Environment:Ucbepic Docetl LLM API Keys
- Environment:Hiyouga LLaMA Factory Quantization Dependencies
- Environment:Facebookresearch Audiocraft AudioCraft Environment Variables
- Environment:Dagster io Dagster DAGSTER HOME Configuration
- Environment:Kserve Kserve VLLM Runtime
- Environment:Sktime Pytorch forecasting Core Python Dependencies
- Environment:Explodinggradients Ragas LLM Provider Environment
- Environment:Mlc ai Web llm Chrome Extension Manifest V3
- Environment:Neuml Txtai API Server Configuration
- Environment:Sgl project Sglang Web