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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:Huggingface Datasets Hub Publishing
- Workflow:Tencent Ncnn Object Detection Inference
- Workflow:Ggml org Llama cpp LoRA Adapter Workflow
- Workflow:Arize ai Phoenix Span Annotation Pipeline
- Workflow:PeterL1n BackgroundMattingV2 Image matting inference
- Workflow:Scikit learn contrib Imbalanced learn SMOTE Resampling Pipeline
- Workflow:Mlfoundations Open flamingo Few Shot Evaluation
- Workflow:Rapidsai Cuml Dimensionality Reduction
- Workflow:OpenGVLab InternVL Multi Stage Pretraining
- Workflow:Elevenlabs Elevenlabs python Voice Cloning
Principles
- Principle:Openai Openai python Realtime Error Handling
- Principle:Haotian liu LLaVA Cloud Hosted Inference
- Principle:Allenai Open instruct Reward Model Initialization
- Principle:Dotnet Machinelearning Hybrid Dense Sparse Storage
- Principle:Datahub project Datahub Metadata Sink Verification
- Principle:Huggingface Transformers Model Loading For Training
- Principle:Dagster io Dagster Declarative Automation
- Principle:Webdriverio Webdriverio Page Object Model
- Principle:ARISE Initiative Robosuite Action Vector Construction
- Principle:LMCache LMCache Disaggregated Proxy Routing
Implementations
- Implementation:NVIDIA TransformerEngine Debug Disable Quant GEMM
- Implementation:Scikit learn Scikit learn ColumnTransformer Init
- Implementation:DevExpress Testcafe ChromeProvider
- Implementation:Vibrantlabsai Ragas HaystackLLMWrapper
- Implementation:CARLA simulator Carla AckermannControllerSettings
- Implementation:Protectai Llm guard Output ReadingTime
- Implementation:Openai Evals Theory of Mind Solver Config
- Implementation:Pytorch Serve LLM Launcher Main
- Implementation:Open compass VLMEvalKit MedqbenchCaptionDataset
- Implementation:Pyro ppl Pyro EscapeMessenger
Heuristics
- Heuristic:Openai Whisper Median Word Duration Clamping
- Heuristic:Nightwatchjs Nightwatch Safari Parallel Limitation
- Heuristic:Danijar Dreamerv3 XLA GPU Optimization Flags
- Heuristic:Teamcapybara Capybara Async Waiting And Retry
- Heuristic:AnswerDotAI RAGatouille Collection Size Index Tuning
- Heuristic:Scikit learn Scikit learn N Jobs Parallelism Tips
- Heuristic:FlowiseAI Flowise Document Loader Bypass Optimization
- Heuristic:Openclaw Openclaw Cache TTL Asymmetric Strategy
- Heuristic:Speechbrain Speechbrain GAN Dual Optimizer Pattern
- Heuristic:NVIDIA DALI NVJPEG Memory Preallocation
Environments
- Environment:Apache Paimon Python Core Runtime
- Environment:LMCache LMCache Python Runtime
- Environment:Langchain ai Langchain LangSmith Tracing Config
- Environment:DataExpert io Data engineer handbook Statsig API Environment
- Environment:Microsoft Autogen Extension Optional Dependencies
- Environment:SeldonIO Seldon core Kafka Messaging Environment
- Environment:Sgl project Sglang CUDA Runtime
- Environment:Iterative Dvc Python Runtime
- Environment:HKUDS AI Trader Browser Runtime
- Environment:AnswerDotAI RAGatouille GPU CUDA Runtime