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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:Langfuse Langfuse Trace ingestion pipeline
- Workflow:FlagOpen FlagEmbedding Benchmark Evaluation
- Workflow:Tensorflow Serving Model Export And Serving
- Workflow:Scikit learn Scikit learn Cross Validation Evaluation
- Workflow:Bitsandbytes foundation Bitsandbytes 4bit QLoRA Inference
- Workflow:Datajuicer Data juicer Custom Operator Development
- Workflow:Sgl project Sglang Multimodal Vision Language Inference
- Workflow:SeldonIO Seldon core Model Deployment
- Workflow:Cypress io Cypress CI Pipeline Integration
- Workflow:Unslothai Unsloth Vision Model Finetuning
Principles
- Principle:Eventual Inc Daft Iceberg Writing
- Principle:Mit han lab Llm awq INT4 Weight Packing
- Principle:Onnx Onnx External Data Loading
- Principle:Apache Kafka JVM Classpath Assembly
- Principle:Google deepmind Mujoco Model XML Export
- Principle:Run llama Llama index Finetuning Job Launch
- Principle:EvolvingLMMs Lab Lmms eval MCP Tool Calling
- Principle:Bentoml BentoML Deployment Configuration
- Principle:Ollama Ollama APIDesign
- Principle:LaurentMazare Tch rs Error Handling
Implementations
- Implementation:Haifengl Smile Spatial Index Constructors
- Implementation:Google deepmind Mujoco mjx step
- Implementation:Apache Shardingsphere ShowProcessListHandler Handle
- Implementation:Spotify Luigi SparkeyExportTask
- Implementation:CrewAIInc CrewAI Docs Navigation Config
- Implementation:Apache Dolphinscheduler BaseAdHocAndPooledClient Extension
- Implementation:Evidentlyai Evidently Legacy LLM Judge Feature
- Implementation:Apache Druid HelperTable
- Implementation:Obss Sahi AutoDetectionModel From Pretrained
- Implementation:Mlc ai Mlc llm MoE Matmul
Heuristics
- Heuristic:FlagOpen FlagEmbedding Length Sorted Batching
- Heuristic:Alibaba MNN Memory Mode Selection
- Heuristic:Langfuse Langfuse Fail Open Resilience Pattern
- Heuristic:ClickHouse ClickHouse Debug Build Tips
- Heuristic:Unstructured IO Unstructured Chunk Size Tuning
- Heuristic:Ggml org Llama cpp Warning Deprecated Legacy Converters
- Heuristic:Iamhankai Forest of Thought Early Stop Majority Vote
- Heuristic:Sail sg LongSpec Tree Shape Configuration
- Heuristic:Mlc ai Mlc llm Optimization Level Selection
- Heuristic:Langgenius Dify SSE Streaming Error Handling
Environments
- Environment:Vllm project Vllm Python
- Environment:Kserve Kserve Knative Serving
- Environment:ARISE Initiative Robomimic HDF5 Data Dependencies
- Environment:Protectai Llm guard ONNX Runtime Acceleration
- Environment:FlowiseAI Flowise Docker Environment
- Environment:Microsoft DeepSpeedExamples CIFAR10 Training Environment
- Environment:Interpretml Interpret Visualization Environment
- Environment:Haosulab ManiSkill Real Robot LeRobot Deps
- Environment:Ray project Ray Java Build Environment
- Environment:MaterializeInc Materialize Docker Compose Runtime