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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:Deepset ai Haystack RAG Pipeline
- Workflow:Datahub project Datahub Spark Lineage Capture
- Workflow:Elevenlabs Elevenlabs python Speech to Text Transcription
- Workflow:Teamcapybara Capybara Custom Selector Definition
- Workflow:Arize ai Phoenix Prompt Management Pipeline
- Workflow:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:FlowiseAI Flowise Evaluation Pipeline
- Workflow:Teamcapybara Capybara Element Finding And Interaction
- Workflow:CrewAIInc CrewAI Crew Training And Testing
- Workflow:Langchain ai Langchain Chat Model Invocation
Principles
- Principle:Guardrails ai Guardrails Telemetry
- Principle:Huggingface Transformers Selective Test Execution
- Principle:Ggml org Llama cpp Chat Completions
- Principle:Isaac sim IsaacGymEnvs VecTask Subclass Creation
- Principle:Kornia Kornia Edge Postprocessing
- Principle:Googleapis Python genai Live Streaming
- Principle:Helicone Helicone Payment Processing
- Principle:Iterative Dvc Content Hashing
- Principle:SeldonIO Seldon core Drift And Outlier Detection Training
- Principle:Marker Inc Korea AutoRAG Answer Generation
Implementations
- Implementation:ArroyoSystems Arroyo Core Types
- Implementation:Open compass VLMEvalKit MLVU
- Implementation:Mlc ai Mlc llm Engine Interface
- Implementation:Allenai Open instruct RM Evaluate
- Implementation:Ggml org Llama cpp RAII Pointers
- Implementation:Kubeflow Pipelines GPU Resource Request Sample
- Implementation:Ollama Ollama Llama Chat
- Implementation:InternLM Lmdeploy Profiler
- Implementation:Predibase Lorax Adapter Scheduler Next Batch
- Implementation:Microsoft DeepSpeedExamples HelloDeepSpeed Train Bert DS
Heuristics
- Heuristic:Openai Evals Eval Resumption Strategy
- Heuristic:Unstructured IO Unstructured Warning Deprecated Staging Base
- Heuristic:Triton inference server Server Server Default Configuration
- Heuristic:Truera Trulens Temperature Zero For Deterministic Scoring
- Heuristic:Huggingface Transformers Mixed Precision Training Selection
- Heuristic:Dagster io Dagster Lazy Import Pattern
- Heuristic:Lm sys FastChat Conversation Splitting Token Buffer
- Heuristic:Marker Inc Korea AutoRAG Module Selection Strategies
- Heuristic:EvolvingLMMs Lab Lmms eval Limit Flag Testing Only
- Heuristic:Open compass VLMEvalKit Judge Model Selection By Dataset
Environments
- Environment:Dotnet Machinelearning Dotnet SDK And Runtime
- Environment:Openai Openai agents python OpenAI API Credentials
- Environment:Unslothai Unsloth CUDA VLLM
- Environment:MarketSquare Robotframework browser CI GitHub Actions
- Environment:Huggingface Datasets Lance Dependencies
- Environment:Mlc ai Mlc llm Python Serving Environment
- Environment:Bigscience workshop Petals CUDA Server
- Environment:Apache Flink Node Build Environment
- Environment:Unstructured IO Unstructured Libmagic
- Environment:Vllm project Vllm Buildkite