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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:Kserve Kserve Multi Model Serving
- Workflow:Testtimescaling Testtimescaling github io Automated Citation Tracking
- Workflow:Ggml org Llama cpp Text Generation
- Workflow:Openai Openai node Structured Output Parsing
- Workflow:LMCache LMCache P2P KV Cache Sharing
- Workflow:Microsoft Playwright Codegen test recording
- Workflow:OpenHands OpenHands Third Party Runtime Integration
- Workflow:Triton inference server Server Ensemble Model Pipeline
- Workflow:Deepset ai Haystack Hybrid Document Search
- Workflow:Huggingface Transformers Model Quantization
Principles
- Principle:Confident ai Deepeval Trace Metadata Enrichment
- Principle:Iterative Dvc Vega Lite Conversion
- Principle:Langchain ai Langgraph Functional Workflow Execution
- Principle:Alibaba MNN LLM Model Export
- Principle:Cohere ai Cohere python Text Embedding
- Principle:FMInference FlexLLMGen HELM Batch Construction
- Principle:LLMBook zh LLMBook zh github io High Throughput LLM Inference
- Principle:Alibaba MNN Dynamic Quantization
- Principle:Teamcapybara Capybara Page Navigation
- Principle:Tensorflow Serving Servable Access Pattern
Implementations
- Implementation:Pyro ppl Pyro Pyro Plate
- Implementation:EvolvingLMMs Lab Lmms eval Gather Object
- Implementation:Mit han lab Llm awq Get prompter
- Implementation:Haosulab ManiSkill EmptyEnv
- Implementation:Zai org CogVideo CogVLM2 Predict
- Implementation:Infiniflow Ragflow BulkOperateBar Component
- Implementation:Diagram of thought Diagram of thought Iterative Reasoner Prompt Loading
- Implementation:Volcengine Verl Multi Turn Data Preprocessing
- Implementation:SeldonIO Seldon core Seldon Model Infer BYTES
- Implementation:Speechbrain Speechbrain Separation Save Results
Heuristics
- Heuristic:Microsoft Onnxruntime Graph Optimization Level Selection
- Heuristic:Helicone Helicone Tiered Pricing Threshold Matching
- Heuristic:Huggingface Alignment handbook QLoRA Learning Rate Scaling
- Heuristic:Dagster io Dagster Record Over Dataclass
- Heuristic:Princeton nlp SimPO Left Truncation Strategy
- Heuristic:Treeverse LakeFS Retry Backoff Configuration
- Heuristic:Scikit learn Scikit learn Working Memory Tuning
- Heuristic:Triton inference server Server Model Instance Scaling
- Heuristic:FlowiseAI Flowise Edge Connection Type Matching
- Heuristic:HKUDS AI Trader A Share Lot Size Rule
Environments
- Environment:Volcengine Verl Megatron Core Environment
- Environment:Sktime Pytorch forecasting Core Python Dependencies
- Environment:Bitsandbytes foundation Bitsandbytes XPU SYCL Runtime
- Environment:Ucbepic Docetl Frontend Node Environment
- Environment:Apache Dolphinscheduler Netty Runtime
- Environment:PeterL1n BackgroundMattingV2 PyTorch CUDA
- Environment:Ggml org Llama cpp Vulkan GPU Environment
- Environment:Ucbepic Docetl LLM API Keys
- Environment:Googleapis Python genai Vertex AI Service Account
- Environment:Liu00222 Open Prompt Injection CUDA Environment