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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 |
Explore Pages
Workflows
- Workflow:Obss Sahi Sliced Inference Pipeline
- Workflow:Google deepmind Dm control Manipulation Task Setup
- Workflow:SeldonIO Seldon core Model Explainability
- Workflow:Ucbepic Docetl Pipeline Optimization
- Workflow:TobikoData Sqlmesh Dbt project migration
- Workflow:PeterL1n BackgroundMattingV2 Video matting inference
- Workflow:Facebookresearch Audiocraft EnCodec Compression Training
- Workflow:Mlc ai Web llm Basic Chat Completion
- Workflow:Huggingface Open r1 Reasoning Data Generation
- Workflow:Fede1024 Rust rdkafka At Least Once Processing
Principles
- Principle:Sgl project Sglang Streaming Response Handling
- Principle:Pola rs Polars Streaming Query Building
- Principle:Cleanlab Cleanlab Object Detection Quality Scoring
- Principle:Bigscience workshop Petals Block Selection
- Principle:HKUDS AI Trader Web Search Integration
- Principle:Sail sg LongSpec Hydra Configuration
- Principle:Dagster io Dagster Sensor Driven Pipelines
- Principle:Datajuicer Data juicer Data Export
- Principle:Snorkel team Snorkel Slice Aware Classification
- Principle:Apache Kafka Broker Invocation
Implementations
- Implementation:Tencent Ncnn RVM Example
- Implementation:Triton inference server Server Build Py
- Implementation:Mlc ai Mlc llm Auto Config
- Implementation:MaterializeInc Materialize ResolvedImage Build Push
- Implementation:Google deepmind Dm control Suite Walker
- Implementation:Romsto Speculative Decoding Autoregressive Generate
- Implementation:Openai Openai python Multipart File Handling
- Implementation:Webdriverio Webdriverio Shim
- Implementation:Apache Kafka Docker Buildx Create
- Implementation:Langfuse Langfuse SendBatchExportSuccessEmail
Heuristics
- Heuristic:Romsto Speculative Decoding Seed Fixing For Reproducibility
- Heuristic:Alibaba MNN Warning Deprecated Winograd Codegen
- Heuristic:ArroyoSystems Arroyo Worker Heartbeat Timeout
- Heuristic:Lm sys FastChat Tokenizer Offset Correction
- Heuristic:FlowiseAI Flowise Heap Memory Configuration
- Heuristic:Google deepmind Dm control Physics Timestep Configuration
- Heuristic:Triton inference server Server Server Default Configuration
- Heuristic:Datahub project Datahub Docker Memory Preflight
- Heuristic:ContextualAI HALOs Reference Logprob Caching
- Heuristic:LaurentMazare Tch rs Device Fallback Pattern
Environments
- Environment:Intel Ipex llm vLLM XPU Serving Environment
- Environment:Interpretml Interpret Python Core Environment
- Environment:Tensorflow Tfjs Browser Runtime
- Environment:Arize ai Phoenix OpenTelemetry SDK
- Environment:Apache Spark Python Environment
- Environment:Obss Sahi Python Pycocotools
- Environment:Lance format Lance Python Environment
- Environment:NVIDIA DALI CUDA GPU Environment
- Environment:Kserve Kserve VLLM Runtime
- Environment:Openai Openai node WebSocket Dependency