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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:Dagster io Dagster Bluesky Analytics
- Workflow:Duckdb Duckdb Benchmark Execution
- Workflow:Nautechsystems Nautilus trader Data loading and cataloging
- Workflow:Ollama Ollama Model Registry Operations
- Workflow:Microsoft Playwright Network mocking and interception
- Workflow:DevExpress Testcafe CLI Test Execution
- Workflow:DataExpert io Data engineer handbook PySpark Job Testing
- Workflow:Kserve Kserve Deploying InferenceService
- Workflow:Rapidsai Cuml Random Forest Training And Inference
- Workflow:Microsoft Agent framework Agent With Tool Approval
Principles
- Principle:SeleniumHQ Selenium PageFactory Initialization
- Principle:DevExpress Testcafe Tested Application Management
- Principle:Apache Dolphinscheduler Query Execution Through Connection
- Principle:FlowiseAI Flowise Audio Visualization
- Principle:Sgl project Sglang Model Quantization And Loading
- Principle:NVIDIA TransformerEngine Rotary Position Embedding
- Principle:Iterative Dvc Pipeline Visualization
- Principle:Datajuicer Data juicer Overall Statistical Analysis
- Principle:Vllm project Vllm Speculative Decoding Configuration
- Principle:Tensorflow Tfjs Base Model Loading
Implementations
- Implementation:Apache Paimon RowKind Python
- Implementation:Langfuse Langfuse API Datasets Schema
- Implementation:Microsoft DeepSpeedExamples Nvidia PreLN Bert Modeling
- Implementation:Open compass VLMEvalKit Spotting Metric
- Implementation:Puppeteer Puppeteer LaunchOptions Configuration
- Implementation:Arize ai Phoenix Evals Utils
- Implementation:Openai Openai python Compacted Response
- Implementation:DistrictDataLabs Yellowbrick VisualPipeline
- Implementation:SeldonIO Seldon core Alibi Explainer Training
- Implementation:Kserve Kserve LocalModelNodeGroup CRD
Heuristics
- Heuristic:Vllm project Vllm GPU Memory Utilization Tuning
- Heuristic:NVIDIA NeMo Aligner Higher Stability Log Probs
- Heuristic:Alibaba MNN Warning Deprecated Winograd Codegen
- Heuristic:Openai Openai node Browser Safety Guard
- Heuristic:Spcl Graph of thoughts GoT Decompose Sort Merge Strategy
- Heuristic:Risingwavelabs Risingwave Docker Memory Allocation
- Heuristic:ChenghaoMou Text dedup Mersenne Prime Backward Compatibility
- Heuristic:Spotify Luigi Parameter Propagation Decorators
- Heuristic:Scikit learn Scikit learn N Jobs Parallelism Tips
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Test Train Option Consistency
Environments
- Environment:Google deepmind Dm control GLFW Desktop Rendering
- Environment:HKUDS AI Trader Browser Runtime
- Environment:Protectai Modelscan H5py Optional
- Environment:Huggingface Datatrove Python Runtime
- Environment:Cohere ai Cohere python Python SDK Runtime
- Environment:Microsoft Agent framework Python 3 10 Runtime
- Environment:ARISE Initiative Robomimic HuggingFace Hub Dependencies
- Environment:Microsoft Autogen Extension Optional Dependencies
- Environment:Alibaba ROLL DeepSpeed Training Environment
- Environment:Datahub project Datahub Java 17 Backend Environment