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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:Duckdb Duckdb Benchmark Execution
- Workflow:Isaac sim IsaacGymEnvs Custom Task Development
- Workflow:Avhz RustQuant Stochastic Process Simulation
- Workflow:Vibrantlabsai Ragas Custom Metric Creation
- Workflow:Vllm project Vllm Vision Language Inference
- Workflow:PrefectHQ Prefect Web Scraping Pipeline
- Workflow:TobikoData Sqlmesh Model development and testing
- Workflow:AnswerDotAI RAGatouille In Memory Retrieval
- Workflow:Langchain ai Langchain Vector Store Operations
- Workflow:PeterL1n BackgroundMattingV2 Image matting inference
Principles
- Principle:Ggml org Ggml BPE Tokenization
- Principle:Fede1024 Rust rdkafka Transactional Message Production
- Principle:Apache Druid Query History
- Principle:Eventual Inc Daft Data Ingestion Parquet
- Principle:Snorkel team Snorkel Transformation Application
- Principle:Zai org CogVideo DDIM Inversion
- Principle:Avhz RustQuant European Vanilla Option Contract
- Principle:Microsoft DeepSpeedExamples Inference Performance Measurement
- Principle:Volcengine Verl SFT Checkpointing
- Principle:Tensorflow Serving Class Registration Pattern
Implementations
- Implementation:Mlflow Mlflow Scoring Server Invocations
- Implementation:Risingwavelabs Risingwave Await Tree Page
- Implementation:Openai Openai node Beta Threads Runs
- Implementation:CARLA simulator Carla CompositeSerializer
- Implementation:CARLA simulator Carla ActorDescription
- Implementation:Kserve Kserve Triton Runtime
- Implementation:Cohere ai Cohere python ToolV2 Definition
- Implementation:Openai Openai node Browser Import Lockfile
- Implementation:LMCache LMCache SageMaker HyperPod Adapter
- Implementation:Duckdb Duckdb Generate Settings
Heuristics
- Heuristic:Kserve Kserve Server Side Apply For CRDs
- Heuristic:Neuml Txtai Batch Size Defaults
- Heuristic:Intel Ipex llm CCL Distributed Training Tips
- Heuristic:Mbzuai oryx Awesome LLM Post training API Rate Limit Retry Strategy
- Heuristic:Openai Evals Chat Format Recommendation
- Heuristic:Recommenders team Recommenders SAR Cold Start Items
- Heuristic:Gretelai Gretel synthetics Mixed Precision Training Tradeoff
- Heuristic:Hiyouga LLaMA Factory CUDA Memory Optimization
- Heuristic:Alibaba MNN Weight Quantization Strategy
- Heuristic:Tensorflow Tfjs Backend Selection Strategy
Environments
- Environment:NVIDIA NeMo Curator RAPIDS GPU Stack
- Environment:Teamcapybara Capybara Selenium WebDriver Environment
- Environment:Apache Dolphinscheduler Java Runtime
- Environment:Vllm project Vllm AMD ROCm
- Environment:Deepset ai Haystack Python Runtime Environment
- Environment:Ollama Ollama CGo Runtime
- Environment:ThreeSR Awesome Inference Time Scaling Python Runtime Environment
- Environment:Microsoft DeepSpeedExamples VisualChat Training Environment
- Environment:Sgl project Sglang OpenAI
- Environment:Kserve Kserve Python Runtime