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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:Rapidsai Cuml Time Series Forecasting
- Workflow:Tensorflow Serving REST API Inference
- Workflow:Dagster io Dagster Modal Serverless Pipeline
- Workflow:Apache Dolphinscheduler Datasource Connection Management
- Workflow:Gretelai Gretel synthetics DataFrame Batch Synthesis
- Workflow:Scikit learn Scikit learn Ensemble Model Building
- Workflow:Spotify Luigi Local Batch Pipeline
- Workflow:Teamcapybara Capybara Form Testing
- Workflow:Google deepmind Mujoco Model compilation and conversion
- Workflow:Recommenders team Recommenders Algorithm Benchmarking
Principles
- Principle:Confident ai Deepeval Trace Metadata Enrichment
- Principle:PrefectHQ Prefect Settings Discovery And Validation
- Principle:Apache Dolphinscheduler Plugin Module Structure
- Principle:OpenGVLab InternVL Layer Wise LR Decay
- Principle:Lm sys FastChat FSDP Safe Model Saving
- Principle:Intel Ipex llm Training With HF Trainer LoRA
- Principle:Apache Kafka Coordinator Metadata Propagation
- Principle:Ggml org Ggml Vision Encoder Execution
- Principle:Webdriverio Webdriverio Selector Validation
- Principle:Puppeteer Puppeteer Browser Launching
Implementations
- Implementation:Scikit learn Scikit learn TfidfVectorizer
- Implementation:Apache Flink AsyncDynamicTableSink
- Implementation:Predibase Lorax Medusa LoRA Adapter
- Implementation:InternLM Lmdeploy QuantizationKernels
- Implementation:Lance format Lance EncodingsIo
- Implementation:EvolvingLMMs Lab Lmms eval Baseline Registry
- Implementation:Recommenders team Recommenders NAML Model
- Implementation:FlowiseAI Flowise DocStoreAPIDialog
- Implementation:Apache Druid DoctorDialog
- Implementation:FlowiseAI Flowise CompStyleOverride
Heuristics
- Heuristic:Arize ai Phoenix Warning Deprecated VertexAIModel
- Heuristic:Deepspeedai DeepSpeed Shared Memory Sizing
- Heuristic:Danijar Dreamerv3 Symlog TwoHot Prediction
- Heuristic:Alibaba MNN Weight Quantization Strategy
- Heuristic:Sgl project Sglang Schedule Conservativeness Tuning
- Heuristic:LMCache LMCache Prefix Based Retrieval Pattern
- Heuristic:Ucbepic Docetl Reduce Parallel Fold Tuning
- Heuristic:Openai Evals Event Batching Configuration
- Heuristic:Ray project Ray NaN Score Filtering In PBT
- Heuristic:Langgenius Dify Token Refresh Loop Prevention
Environments
- Environment:Isaac sim IsaacGymEnvs IsaacGym Preview 4
- Environment:Bigscience workshop Petals Python Hivemind
- Environment:MaterializeInc Materialize Docker Compose Runtime
- Environment:Teamcapybara Capybara Ruby And Gem Dependencies
- Environment:MaterializeInc Materialize Buildkite CI Runtime
- Environment:Unslothai Unsloth Python Transformers
- Environment:Open compass VLMEvalKit Python Runtime Environment
- Environment:Cohere ai Cohere python AWS Integration Dependencies
- Environment:Getgauge Taiko Docker Container
- Environment:Volcengine Verl Ray Distributed Environment