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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:AnswerDotAI RAGatouille ColBERT Training
- Workflow:Recommenders team Recommenders News Recommendation NRMS
- Workflow:Googleapis Python genai Context Caching
- Workflow:Helicone Helicone LLM Response Normalization
- Workflow:Langchain ai Langchain Streaming Responses
- Workflow:Alibaba ROLL Agentic RL Training Pipeline
- Workflow:Cleanlab Cleanlab CleanLearning Robust Training
- Workflow:Mistralai Client python GCP Chat Completion
- Workflow:Apache Paimon Lance Format Analytics
- Workflow:Apache Airflow DAG Authoring and Deployment
Principles
- Principle:Apache Hudi Streaming Write Execution
- Principle:Openclaw Openclaw Access Policy Configuration
- Principle:Mistralai Client python Finetuning Job Control
- Principle:Facebookresearch Habitat lab Evaluation Execution
- Principle:Vespa engine Vespa Initial Configuration Fetch
- Principle:Iterative Dvc Artifact Metadata
- Principle:Scikit learn Scikit learn Dataset Loading
- Principle:Datahub project Datahub Java Client Initialization
- Principle:ClickHouse ClickHouse PCG Random Number Generation
- Principle:Kserve Kserve PD Scheduler Routing
Implementations
- Implementation:Apache Druid SegmentsPreviewPane
- Implementation:Kserve Kserve InferenceService CRD Spec
- Implementation:Deepset ai Haystack ChatPromptBuilder
- Implementation:Langgenius Dify Timezone Data
- Implementation:TobikoData Sqlmesh Selector
- Implementation:NVIDIA TransformerEngine Ops Activation
- Implementation:SeleniumHQ Selenium Closure Promise
- Implementation:Mlfoundations Open flamingo Evaluate captioning
- Implementation:Microsoft Onnxruntime CheckpointProperty
- Implementation:Vespa engine Vespa Component ABI Spec
Heuristics
- Heuristic:Hiyouga LLaMA Factory CUDA Memory Optimization
- Heuristic:Online ml River HST Feature Scaling Requirement
- Heuristic:Ggml org Ggml Sampling Parameter Defaults
- Heuristic:Sdv dev SDV Sampling Retry Tuning
- Heuristic:Groq Groq python Error Handling Hierarchy
- Heuristic:Sktime Pytorch forecasting Batch Size Selection
- Heuristic:Anthropics Anthropic sdk python Warning Deprecated LegacyAPIResponse
- Heuristic:Openai Openai node Warning Deprecated Assistants API
- Heuristic:Mbzuai oryx Awesome LLM Post training Reference Citation Cap 200
- Heuristic:Microsoft Agent framework Silent Workflow Failures
Environments
- Environment:Triton inference server Server GPU CUDA Runtime
- Environment:AnswerDotAI RAGatouille GPU CUDA Runtime
- Environment:Facebookresearch Habitat lab Python 3 9 Core Dependencies
- Environment:Deepspeedai DeepSpeed CUDA GPU Environment
- Environment:Promptfoo Promptfoo Python Runtime
- Environment:Apache Dolphinscheduler Java Runtime
- Environment:Openai CLIP Python Dependencies
- Environment:Pytorch Serve Distributed Training Environment
- Environment:Openai Whisper Triton
- Environment:Volcengine Verl Python Core Dependencies