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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:Mage ai Mage ai Destination Data Loading
- Workflow:Apache Druid SQL Query Execution
- Workflow:Bigscience workshop Petals Prompt Tuning Chatbot
- Workflow:Haotian liu LLaVA Benchmark Evaluation
- Workflow:Heibaiying BigData Notes HBase Java CRUD Operations
- Workflow:Marker Inc Korea AutoRAG Pipeline Deployment
- Workflow:Kornia Kornia ONNX Model Pipeline
- Workflow:ClickHouse ClickHouse Running Stateless Tests
- Workflow:OpenRLHF OpenRLHF Reward Model Training
- Workflow:DataTalksClub Data engineering zoomcamp Spark Batch Processing
Principles
- Principle:Pytorch Serve Distributed Worker
- Principle:OpenGVLab InternVL Dynamic Resolution Preprocessing
- Principle:Microsoft Semantic kernel Vector Store Collection Setup
- Principle:Sgl project Sglang Distributed Environment Setup
- Principle:FlagOpen FlagEmbedding IR Metrics Computation
- Principle:FMInference FlexLLMGen Autotuning Configuration Search
- Principle:Gretelai Gretel synthetics Synthetic Text Generation
- Principle:Vllm project Vllm Engine Configuration
- Principle:Sktime Pytorch forecasting Transformer Encoder Architecture
- Principle:TA Lib Ta lib python Stream Event Integration
Implementations
- Implementation:InternLM Lmdeploy Core Array
- Implementation:Apache Druid JsonInput
- Implementation:Kubeflow Pipelines Load Component From URL
- Implementation:Apache Paimon BTreeFileFooter
- Implementation:Puppeteer Puppeteer CDPSession
- Implementation:Microsoft Autogen Dotnet Build Workflow
- Implementation:Treeverse LakeFS CreateTag
- Implementation:Risingwavelabs Risingwave JniDbzSourceHandler RunJniDbzSourceThread
- Implementation:PacktPublishing LLM Engineers Handbook Data Warehouse CLI
- Implementation:Ucbepic Docetl MarkdownCell
Heuristics
- Heuristic:ARISE Initiative Robomimic Video Recording Optimization
- Heuristic:Protectai Llm guard Lazy Scanner Loading
- Heuristic:Getgauge Taiko Element Actionability Checks
- Heuristic:Axolotl ai cloud Axolotl Sample Packing Best Practices
- Heuristic:Cleanlab Cleanlab Label Quality Scoring Method Selection
- Heuristic:Anthropics Anthropic sdk python Adaptive Thinking Over Enabled
- Heuristic:Mlc ai Mlc llm GPU Memory Budget Tuning
- Heuristic:Confident ai Deepeval Secret Management Best Practices
- Heuristic:Fastai Fastbook Learning Rate Finder Rule
- Heuristic:Volcengine Verl Layered Summon Memory Tradeoff
Environments
- Environment:Intel Ipex llm Windows Environment
- Environment:Tensorflow Tfjs Python Converter
- Environment:Mlc ai Mlc llm CUDA GPU Environment
- Environment:Spcl Graph of thoughts OpenAI API Access
- Environment:Anthropics Anthropic sdk python Python SDK Core Environment
- Environment:FlagOpen FlagEmbedding Python PyTorch Environment
- Environment:Run llama Llama index Fsspec Remote Storage
- Environment:OpenBMB UltraFeedback HuggingFace Hub Environment
- Environment:Apache Spark JDK Build Environment
- Environment:Risingwavelabs Risingwave Docker Deployment Environment