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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:Lance format Lance Table Optimization
- Workflow:Confident ai Deepeval Component Level LLM Evaluation
- Workflow:Tencent Ncnn PyTorch Model Conversion and Inference
- Workflow:Langchain ai Langchain Chat Model Invocation
- Workflow:Facebookresearch Audiocraft MusicGen Training Pipeline
- Workflow:Lm sys FastChat Vicuna SFT Finetuning
- Workflow:OpenGVLab InternVL Supervised Finetuning
- Workflow:Testtimescaling Testtimescaling github io GitHub Pages Course Progression
- Workflow:Tensorflow Tfjs GPT2 Text Generation
- Workflow:Roboflow Rf detr Custom Dataset Finetuning
Principles
- Principle:Sdv dev SDV Range Constraint
- Principle:Googleapis Python genai Image Generation
- Principle:Vespa engine Vespa ABI Compatibility Specification
- Principle:Openclaw Openclaw Container Onboarding
- Principle:Spcl Graph of thoughts Keyword Counting Response Parsing
- Principle:Huggingface Peft AdaLoRA Adaptive Rank
- Principle:NVIDIA TransformerEngine TE Model Initialization
- Principle:DistrictDataLabs Yellowbrick Knee Point Detection
- Principle:Nightwatchjs Nightwatch Cucumber Runner Configuration
- Principle:Deepseek ai Janus VQ VAE Decoding
Implementations
- Implementation:Infiniflow Ragflow ChunkHooks
- Implementation:Online ml River Stats Minimum
- Implementation:Facebookresearch Habitat lab Dataset
- Implementation:Mage ai Mage ai OracleDB Source
- Implementation:LLMBook zh LLMBook zh github io Build Alibi Tensor
- Implementation:Ggml org Ggml Ggml init
- Implementation:Helicone Helicone MapperBuilder PathMapper
- Implementation:Langfuse Langfuse ObservationsTable Definition
- Implementation:Ucbepic Docetl ExperimentStructuredOutputs
- Implementation:FlagOpen FlagEmbedding MMRet CLIP Model
Heuristics
- Heuristic:Lm sys FastChat Tokenizer Offset Correction
- Heuristic:Microsoft BIPIA Torch Compile Platform Guard
- Heuristic:Arize ai Phoenix Warning Deprecated VertexAIModel
- Heuristic:Microsoft Semantic kernel Experimental Feature Opt In
- Heuristic:PeterL1n BackgroundMattingV2 Training Batch Size And Resolution
- Heuristic:Apache Druid Cluster Health Diagnostic Thresholds
- Heuristic:ClickHouse ClickHouse ThinLTO Build Tradeoffs
- Heuristic:Apache Druid Sampler Limitations And Workarounds
- Heuristic:Pyro ppl Pyro Enumeration Plate Nesting
- Heuristic:VainF Torch Pruning AutoGrad Dependency Graph
Environments
- Environment:Interpretml Interpret Blackbox Explainer Dependencies
- Environment:Alibaba MNN HuggingFace Ecosystem Environment
- Environment:Explodinggradients Ragas Optional Metrics Environment
- Environment:Marker Inc Korea AutoRAG Python 3 10 Runtime
- Environment:LLMBook zh LLMBook zh github io VLLM Inference Environment
- Environment:Microsoft Onnxruntime Windows Build Environment
- Environment:Ollama Ollama Go Runtime
- Environment:Ggml org Llama cpp CUDA GPU Environment
- Environment:Kornia Kornia CUDA GPU Environment
- Environment:OpenBMB UltraFeedback Python GPU Environment