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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:Langfuse Langfuse Dataset experiment pipeline
- Workflow:Microsoft Playwright Network mocking and interception
- Workflow:Dotnet Machinelearning Binary Classification Pipeline
- Workflow:Astronomer Astronomer cosmos Local dbt DAG rendering
- Workflow:Pola rs Polars Streaming Large Dataset Processing
- Workflow:DistrictDataLabs Yellowbrick Classification Model Evaluation
- Workflow:Cohere ai Cohere python Model Finetuning
- Workflow:Treeverse LakeFS Write Audit Publish With Hooks
- Workflow:Kserve Kserve Canary Rollout Deployment
- Workflow:Astronomer Astronomer cosmos Watcher execution mode
Principles
- Principle:Scikit learn Scikit learn Anomaly Detection
- Principle:Nautechsystems Nautilus trader Backtest Execution
- Principle:Mistralai Client python Azure Client Initialization
- Principle:Lance format Lance Row Level Updates
- Principle:Triton inference server Server Request Tracing
- Principle:Huggingface Optimum Framework Detection
- Principle:ARISE Initiative Robosuite Placement Sampling
- Principle:LaurentMazare Tch rs YOLO Object Detection
- Principle:Romsto Speculative Decoding Encoder Decoder Autoregressive Generation
- Principle:DevExpress Testcafe Element Selection
Implementations
- Implementation:SeleniumHQ Selenium Architecture
- Implementation:Apache Flink HadoopMapFunction
- Implementation:PrefectHQ Prefect Materialize Decorator
- Implementation:Hpcaitech ColossalAI CEvalDataset
- Implementation:Groq Groq python SDK Sentinel and Request Types
- Implementation:EvolvingLMMs Lab Lmms eval MME CoT Utils
- Implementation:Microsoft Agent framework AgentExecutor Init
- Implementation:Open compass VLMEvalKit MMHelix Cryptomath Eval
- Implementation:Open compass VLMEvalKit Spotting Metric
- Implementation:Microsoft Onnxruntime CUDA NcclService
Heuristics
- Heuristic:Googleapis Python genai AFC Max Remote Calls Limit
- Heuristic:Openai Whisper Median Word Duration Clamping
- Heuristic:Explodinggradients Ragas Failed Metrics Return NaN
- Heuristic:Apache Beam GC Thrashing Detection
- Heuristic:Microsoft Autogen Agent Thread Safety
- Heuristic:Haosulab ManiSkill Physics Solver Tuning
- Heuristic:Kserve Kserve VLLM GPU Memory Utilization
- Heuristic:Princeton nlp SimPO BOS Token Handling
- Heuristic:Gretelai Gretel synthetics Batch Size Divisibility Constraints
- Heuristic:Puppeteer Puppeteer Headless Linux Requirements
Environments
- Environment:SeleniumHQ Selenium Selenium Manager Runtime
- Environment:Ggml org Llama cpp CMake Build Environment
- Environment:NVIDIA TransformerEngine GPU Compute Capability
- Environment:Tensorflow Serving Build Environment
- Environment:Hpcaitech ColossalAI CUDA GPU Environment
- Environment:Cleanlab Cleanlab Datalab Dependencies
- Environment:Deepspeedai DeepSpeed XPU Environment
- Environment:Sktime Pytorch forecasting Core Python Dependencies
- Environment:Huggingface Transformers BitsAndBytes Quantization Env
- Environment:Webdriverio Webdriverio Cloud Service Credentials