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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:Langgenius Dify RAG Pipeline Development
- Workflow:Protectai Modelscan CLI Model Scanning
- Workflow:Langchain ai Langchain Streaming Responses
- Workflow:Infiniflow Ragflow Knowledge Base Document Ingestion
- Workflow:Neuml Txtai Agent Orchestration
- Workflow:Openai Evals Running a single eval
- Workflow:Kubeflow Pipelines Iterative Model Training
- Workflow:Guardrails ai Guardrails Server Deployment
- Workflow:Cypress io Cypress Local Development Environment
- Workflow:Sgl project Sglang Multimodal Vision Language Inference
Principles
- Principle:PrefectHQ Prefect Task Retry
- Principle:Datahub project Datahub Metadata Emission
- Principle:SeldonIO Seldon core Experiment Traffic Analysis
- Principle:Anthropics Anthropic sdk python Thinking Request Execution
- Principle:Ggml org Ggml Image Preprocessing
- Principle:Spotify Luigi Task Simulation
- Principle:ClickHouse ClickHouse HTTP Client Communication
- Principle:Datahub project Datahub Stack Lifecycle Management
- Principle:OpenHands OpenHands Agent Summary Callback
- Principle:Huggingface Datatrove HuggingFace Dataset Reading
Implementations
- Implementation:SeleniumHQ Selenium Grid Status Endpoint
- Implementation:Guardrails ai Guardrails Examples TOC
- Implementation:Ollama Ollama Llama Chat
- Implementation:TobikoData Sqlmesh API Directories
- Implementation:Openai Openai python Fine Tuned Model Inference
- Implementation:Avhz RustQuant FractionalCIR
- Implementation:Openai Openai agents python OpenAIResponsesModel Get Response
- Implementation:Online ml River Reco FunkMF
- Implementation:Neuml Txtai GGML ANN
- Implementation:Truera Trulens MkDocs Config
Heuristics
- Heuristic:Unstructured IO Unstructured Hi Res Model Configuration
- Heuristic:Huggingface Datasets Cache Fingerprinting Tips
- Heuristic:Heibaiying BigData Notes HBase Connection Thread Safety Tip
- Heuristic:Arize ai Phoenix Environment Variable Precedence
- Heuristic:Puppeteer Puppeteer Firefox Single Process Workaround
- Heuristic:Onnx Onnx Protobuf 2GB Limit Workaround
- Heuristic:Intel Ipex llm QLoRA Training Hyperparameters
- Heuristic:Mage ai Mage ai Batch Size Tuning
- Heuristic:Langgenius Dify Warning Deprecated Default Datasource Auth
- Heuristic:AUTOMATIC1111 Stable diffusion webui UNet Performance Patches
Environments
- Environment:Mlc ai Mlc llm CUDA GPU Environment
- Environment:Protectai Modelscan TensorFlow Optional
- Environment:Spcl Graph of thoughts Local LLaMA GPU Inference
- Environment:Apache Beam Dataflow Streaming Runtime
- Environment:Openai Openai agents python LiteLLM Dependencies
- Environment:Microsoft DeepSpeedExamples ZeRO Inference Runtime
- Environment:DataExpert io Data engineer handbook Flink Kafka Docker Environment
- Environment:Alibaba ROLL ROCm GPU Environment
- Environment:Onnx Onnx Python Runtime Environment
- Environment:Intel Ipex llm NPU Environment