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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:Deepspeedai DeepSpeed Sequence Parallel Long Context Training
- Workflow:Dagster io Dagster Dbt Integration
- Workflow:Microsoft Onnxruntime Nodejs Inference
- Workflow:Onnx Onnx Model Creation
- Workflow:Huggingface Trl Supervised Finetuning
- Workflow:Apache Spark Application Submission
- Workflow:Cypress io Cypress E2E Test Execution
- Workflow:Guardrails ai Guardrails Server Deployment
- Workflow:Shiyu coder Kronos Batch Prediction
- Workflow:DataExpert io Data engineer handbook AB Experimentation Server
Principles
- Principle:Interpretml Interpret LIME Tabular Explanation
- Principle:Ggml org Llama cpp Unicode Text Processing
- Principle:CARLA simulator Carla Build Prerequisites
- Principle:VainF Torch Pruning Hessian Importance
- Principle:Sktime Pytorch forecasting Synthetic Data Generation
- Principle:Microsoft Agent framework Agent Context Management
- Principle:CrewAIInc CrewAI Manager Agent Configuration
- Principle:Openai Openai agents python Function Tool Definition
- Principle:Online ml River Rust Performance Acceleration
- Principle:Huggingface Trl GRPO Training Loop
Implementations
- Implementation:Online ml River Sketch Histogram
- Implementation:Kserve Kserve LocalModelCache CRD
- Implementation:Haotian liu LLaVA Controller Class
- Implementation:Vespa engine Vespa Prepare Sh
- Implementation:Huggingface Trl HfArgumentParser PPOConfig
- Implementation:Explodinggradients Ragas Evaluate Function
- Implementation:Openai Openai agents python InputGuardrail OutputGuardrail
- Implementation:SeleniumHQ Selenium HasFullPageScreenshot
- Implementation:Tensorflow Tfjs Metrics Test
- Implementation:ArroyoSystems Arroyo Debezium Extension
Heuristics
- Heuristic:Alibaba MNN Memory Mode Selection
- Heuristic:Huggingface Alignment handbook Sequence Packing Strategy
- Heuristic:Liu00222 Open Prompt Injection Attack Effectiveness Hierarchy
- Heuristic:Bentoml BentoML Platform Serving Caveats
- Heuristic:OWASP Www project top 10 for large language model applications Deliberately Insecure Code Isolation
- Heuristic:Huggingface Open r1 Reward Function Tuning
- Heuristic:Openai Openai python Structured Output Strict Schema
- Heuristic:Apache Druid Auto Granularity Selection
- Heuristic:Microsoft Agent framework PowerFx Python Version Limit
- Heuristic:Infiniflow Ragflow Reranking Weight Tuning
Environments
- Environment:Huggingface Datasets Audio Video Dependencies
- Environment:AnswerDotAI RAGatouille Python ColBERT Dependencies
- Environment:Langfuse Langfuse Redis 7 Queue Cache
- Environment:ClickHouse ClickHouse OpenSSL Runtime
- Environment:Huggingface Datasets Image Dependencies
- Environment:ArroyoSystems Arroyo Kubernetes Deployment
- Environment:Openai Openai agents python LiteLLM Dependencies
- Environment:Apache Hudi Java Maven Build Environment
- Environment:Google deepmind Dm control EGL Headless Rendering
- Environment:EvolvingLMMs Lab Lmms eval Python Runtime Environment