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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:DataTalksClub Data engineering zoomcamp Spark Batch Processing
- Workflow:MarketSquare Robotframework browser Plugin Development
- Workflow:Fede1024 Rust rdkafka At Least Once Processing
- Workflow:Groq Groq python Chat Completion
- Workflow:Apache Kafka Coordinator Runtime Lifecycle
- Workflow:Mistralai Client python GCP Chat Completion
- Workflow:Neuml Txtai Semantic Search Pipeline
- Workflow:MarketSquare Robotframework browser API Testing via Browser
- Workflow:Roboflow Rf detr Roboflow Deployment
- Workflow:TobikoData Sqlmesh Model development and testing
Principles
- Principle:Pytorch Serve Pipeline Parallelism
- Principle:Microsoft Agent framework YAML Agent Schema
- Principle:Neuml Txtai Document Collection
- Principle:Openai Openai agents python Shared Context
- Principle:Elevenlabs Elevenlabs python Audio Playback
- Principle:PacktPublishing LLM Engineers Handbook Vector Storage
- Principle:Deepset ai Haystack LLM Chat Generation
- Principle:Tensorflow Tfjs Training Data Preparation
- Principle:InternLM Lmdeploy AWQ Weight Quantization
- Principle:Nightwatchjs Nightwatch Cucumber Runner Configuration
Implementations
- Implementation:Ollama Ollama XCreate Quantize
- Implementation:Microsoft Autogen AssistantAgent On Messages Stream
- Implementation:NVIDIA NeMo Curator Fuzzy IdentifyDuplicatesStage
- Implementation:Mlc ai Mlc llm RNN State
- Implementation:Datajuicer Data juicer NestedAggregator
- Implementation:OpenHands OpenHands GithubIssue Initialize Conversation
- Implementation:Online ml River Neighbors LazySearch
- Implementation:Cohere ai Cohere python TrainingStepMetrics
- Implementation:Online ml River Proba Beta
- Implementation:Datajuicer Data juicer CleanLinksMapper
Heuristics
- Heuristic:Allenai Open instruct GPU Memory Utilization
- Heuristic:LMCache LMCache Chunk Size And Default Config
- Heuristic:DistrictDataLabs Yellowbrick NaN Data Handling
- Heuristic:Tensorflow Serving Resource Estimation Rules
- Heuristic:Kserve Kserve Prefix Cache Consistency
- Heuristic:Mage ai Mage ai HTTP Request Timeout Defaults
- Heuristic:Liu00222 Open Prompt Injection Defense Strategy Selection
- Heuristic:Deepset ai Haystack Document Splitting Defaults
- Heuristic:Nautechsystems Nautilus trader Cache Buffer Interval Tuning
- Heuristic:Deepspeedai DeepSpeed ZeRO Pipeline Incompatibility
Environments
- Environment:Pyro ppl Pyro Visualization Tools
- Environment:PrefectHQ Prefect AI Integration Credentials
- Environment:Spotify Luigi AWS S3 Storage
- Environment:Diagram of thought Diagram of thought Graphviz
- Environment:Snorkel team Snorkel PySpark
- Environment:Eric mitchell Direct preference optimization HuggingFace Transformers
- Environment:OpenGVLab InternVL DeepSpeed
- Environment:Arize ai Phoenix OpenTelemetry SDK
- Environment:Google research Deduplicate text datasets Python HuggingFace Environment
- Environment:Marker Inc Korea AutoRAG Japanese NLP Dependencies