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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:Danijar Dreamerv3 Train And Evaluate
- Workflow:DataExpert io Data engineer handbook Flink Kafka Streaming Pipeline
- Workflow:Dagster io Dagster Modal Serverless Pipeline
- Workflow:Google deepmind Mujoco Simulation benchmarking
- Workflow:Kubeflow Pipelines XGBoost Training Pipeline
- Workflow:OWASP Www project top 10 for large language model applications Agentic Security Assessment
- Workflow:Datahub project Datahub Java SDK Metadata Emission
- Workflow:Avdvg InjectGuard Vector Similarity Detection Pipeline
- Workflow:Langchain ai Langchain Streaming Responses
- Workflow:Huggingface Optimum Accelerated Inference Pipeline
Principles
- Principle:Huggingface Datatrove Pipeline Failure Diagnosis
- Principle:Tensorflow Tfjs Graph Execution
- Principle:OpenGVLab InternVL Segmentation Dataset Configuration
- Principle:Apache Flink Object Reuse
- Principle:PeterL1n BackgroundMattingV2 Video output writing
- Principle:NVIDIA NeMo Aligner Reward Model Data Preparation
- Principle:Alibaba MNN LLM Inference Execution
- Principle:Openclaw Openclaw Routing Verification
- Principle:ARISE Initiative Robosuite Spatial Transforms
- Principle:Apache Spark Release Documentation Generation
Implementations
- Implementation:Dagster io Dagster AutomationCondition API
- Implementation:Bentoml BentoML Framework TensorFlow
- Implementation:ArroyoSystems Arroyo Stdout Connector
- Implementation:LaurentMazare Tch rs Imagenet Top
- Implementation:Infiniflow Ragflow DatasetOverviewHooks
- Implementation:Datahub project Datahub Meta Proto Custom Options
- Implementation:Google deepmind Mujoco MJX Collision Primitive
- Implementation:Triton inference server Server AddCopyright
- Implementation:Datajuicer Data juicer SentenceSplitMapper
- Implementation:Kornia Kornia Mean IoU
Heuristics
- Heuristic:Vespa engine Vespa Document Batch Processing Strategy
- Heuristic:SqueezeAILab ETS Thread Parallelism Suppression
- Heuristic:Tencent Ncnn Optimize Before Quantize
- Heuristic:Vespa engine Vespa Config Polling Timeout Tuning
- Heuristic:Huggingface Datasets Warning Deprecated Pandas Builder
- Heuristic:HKUDS AI Trader Linear Retry Backoff
- Heuristic:Openai Openai python Streaming Resource Management
- Heuristic:Hpcaitech ColossalAI Warning Deprecated Ray Detached PPO
- Heuristic:Rapidsai Cuml Float64 Kernel Stability
- Heuristic:ArroyoSystems Arroyo Stateful Operator TTL
Environments
- Environment:Microsoft DeepSpeedExamples VisualChat Training Environment
- Environment:DataExpert io Data engineer handbook Spark Iceberg Docker Environment
- Environment:BerriAI Litellm Observability Stack
- Environment:Obss Sahi Python Detection Frameworks
- Environment:Evidentlyai Evidently Python Core Environment
- Environment:Astronomer Astronomer cosmos Cloud Provider Dependencies
- Environment:Arize ai Phoenix Frontend Node 22
- Environment:Microsoft Autogen Extension Optional Dependencies
- Environment:FMInference FlexLLMGen HuggingFace Access
- Environment:Nightwatchjs Nightwatch BrowserStack Cloud