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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:Lakeraai Pint benchmark Hugging Face Model Evaluation
- Workflow:CarperAI Trlx ILQL Offline Training
- Workflow:CrewAIInc CrewAI Sequential Crew Execution
- Workflow:Confident ai Deepeval End to End LLM Evaluation
- Workflow:Getgauge Taiko Form Interaction Testing
- Workflow:Explodinggradients Ragas Agent Evaluation
- Workflow:Romsto Speculative Decoding Ngram Assisted Speculative Decoding
- Workflow:Dagster io Dagster RAG Pipeline
- Workflow:Ggml org Llama cpp Model Perplexity Evaluation
- Workflow:Ucbepic Docetl Python API Pipeline
Principles
- Principle:Microsoft BIPIA Model Loading
- Principle:InternLM Lmdeploy AWQ Weight Quantization
- Principle:Run llama Llama index Finetuned Model Integration
- Principle:NVIDIA NeMo Aligner Hydra Training Configuration
- Principle:FMInference FlexLLMGen Autotuning Configuration Search
- Principle:Risingwavelabs Risingwave Iceberg Catalog Operations
- Principle:Vespa engine Vespa Text Transformation
- Principle:FlagOpen FlagEmbedding Hard Negative Mining
- Principle:Haosulab ManiSkill CPU GPU Dual Backend
- Principle:ContextualAI HALOs Policy Sampling
Implementations
- Implementation:Evidentlyai Evidently Legacy Base Suite
- Implementation:Langchain ai Langchain Pre Release Checks
- Implementation:Farama Foundation Gymnasium Vector Observation Wrappers
- Implementation:Online ml River Datasets Keystroke
- Implementation:ArroyoSystems Arroyo Create Profile Page
- Implementation:Open compass VLMEvalKit mPLUG Owl3
- Implementation:Langfuse Langfuse API Metrics Schema
- Implementation:Apache Dolphinscheduler IWorkflowControlClient Recovery
- Implementation:CrewAIInc CrewAI AI Mind Tool
- Implementation:Apache Spark Kubectl Auth Check
Heuristics
- Heuristic:Spotify Luigi Streaming MapReduce Processing
- Heuristic:Sdv dev SDV HMA Schema Simplification
- Heuristic:Eric mitchell Direct preference optimization Activation Checkpointing Memory
- Heuristic:Cohere ai Cohere python Warning Deprecated Legacy Generate API
- Heuristic:Langgenius Dify Env Sync Upgrade Strategy
- Heuristic:Astronomer Astronomer cosmos Deprecation Migration Paths
- Heuristic:Unstructured IO Unstructured Strategy Fallback Chain
- Heuristic:Apache Druid Capability Detection Strategy
- Heuristic:OWASP Www project top 10 for large language model applications Deliberately Insecure Code Isolation
- Heuristic:Zai org CogVideo Data Preparation Best Practices
Environments
- Environment:Cypress io Cypress Linux Display Server
- Environment:SeldonIO Seldon core Docker Compose Local Environment
- Environment:Mlc ai Web llm WebGPU Browser Runtime
- Environment:Kserve Kserve Gateway API
- Environment:Microsoft DeepSpeedExamples ZeRO Inference Runtime
- Environment:Dotnet Machinelearning Platform Architecture Support
- Environment:Datajuicer Data juicer LLM API Credentials Environment
- Environment:Microsoft Onnxruntime CPU Training Environment
- Environment:Mbzuai oryx Awesome LLM Post training Python Pandas
- Environment:Sdv dev SDV Python Runtime