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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:Kubeflow Kubeflow AI Lifecycle Pipeline
- Workflow:Alibaba MNN LLM Deployment Pipeline
- Workflow:BerriAI Litellm Observability Integration
- Workflow:Microsoft LoRA GPT2 NLG Finetuning
- Workflow:Google deepmind Mujoco Offscreen video recording
- Workflow:Sail sg LongSpec Long Context Evaluation
- Workflow:TA Lib Ta lib python Candlestick Pattern Recognition
- Workflow:Vllm project Vllm OpenAI Compatible Serving
- Workflow:Predibase Lorax Multi Adapter Merging
- Workflow:OpenGVLab InternVL LoRA Finetuning
Principles
- Principle:Mistralai Client python OCR Result Processing
- Principle:Langgenius Dify PopupBlockerMitigation
- Principle:Huggingface Transformers LoRA Configuration
- Principle:Shiyu coder Kronos Model Loading
- Principle:Cleanlab Cleanlab CIFAR CNN Architecture
- Principle:Microsoft DeepSpeedExamples ZeRO Model Configuration
- Principle:LaurentMazare Tch rs Adam Optimization
- Principle:Microsoft Semantic kernel Kernel Construction
- Principle:Langchain ai Langgraph Data Encryption
- Principle:Iamhankai Forest of Thought Answer Equivalence Checking
Implementations
- Implementation:Interpretml Interpret EbmStats
- Implementation:Lance format Lance NamespaceError
- Implementation:Ucbepic Docetl Pipeline Run
- Implementation:Apache Dolphinscheduler DataSourceClientProvider Pooling
- Implementation:Sgl project Sglang Marlin Dequant
- Implementation:Sgl project Sglang CPU Extend Attention
- Implementation:Getgauge Taiko Attach
- Implementation:Datahub project Datahub SemanticVersion
- Implementation:Astronomer Astronomer cosmos GoogleCloudServiceAccountFileProfileMapping
- Implementation:Explodinggradients Ragas Text2SQL Validate Dataset
Heuristics
- Heuristic:Microsoft Agent framework Typed Agent Options Pattern
- Heuristic:Vllm project Vllm GPU Memory Utilization Tuning
- Heuristic:Explodinggradients Ragas LLM Temperature Defaults
- Heuristic:Treeverse LakeFS Warning Deprecated InternalApi Methods
- Heuristic:ChenghaoMou Text dedup Mersenne Prime Backward Compatibility
- Heuristic:ARISE Initiative Robomimic Checkpoint Selection Strategy
- Heuristic:Kornia Kornia Gradient Detach Stability
- Heuristic:Farama Foundation Gymnasium Sync Vs Async VectorEnv Selection
- Heuristic:Roboflow Rf detr Batch Size Memory Tradeoff
- Heuristic:ArroyoSystems Arroyo Worker Heartbeat Timeout
Environments
- Environment:Marker Inc Korea AutoRAG VLLM Environment
- Environment:Astronomer Astronomer cosmos Cloud Provider Dependencies
- Environment:Vllm project Vllm CPU Runtime
- Environment:ThreeSR Awesome Inference Time Scaling Semantic Scholar API Environment
- Environment:Mlflow Mlflow Python Runtime Environment
- Environment:Ggml org Ggml C Cpp Build Environment
- Environment:Treeverse LakeFS Web UI Environment
- Environment:Iterative Dvc Python Runtime
- Environment:Sgl project Sglang ROCm
- Environment:Snorkel team Snorkel Dask Distributed