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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:Infiniflow Ragflow Docker Deployment
- Workflow:PeterL1n BackgroundMattingV2 Image matting inference
- Workflow:OpenHands OpenHands Conversation Lifecycle Management
- Workflow:Mistralai Client python Azure Chat Completion
- Workflow:Datahub project Datahub Protobuf Schema Ingestion
- Workflow:Gretelai Gretel synthetics ACTGAN Tabular Synthesis
- Workflow:Groq Groq python Batch Processing
- Workflow:Speechbrain Speechbrain Speaker Embedding Training
- Workflow:Kubeflow Pipelines Standalone Deployment
- Workflow:Cohere ai Cohere python Tool Use Agentic Chat
Principles
- Principle:Apache Druid Schema Definition
- Principle:Groq Groq python Text Embedding Request
- Principle:Huggingface Datasets Compressed Filesystem Access
- Principle:Neuml Txtai Benchmark Evaluation
- Principle:Microsoft Onnxruntime Tensor Construction
- Principle:Datajuicer Data juicer Correlation Analysis
- Principle:TobikoData Sqlmesh CICD Automated Test Execution
- Principle:Online ml River Tree Split Strategies
- Principle:Cleanlab Cleanlab Datalab Multilabel Label Issue Detection
- Principle:Promptfoo Promptfoo Configuration Rendering
Implementations
- Implementation:Ray project Ray TaskCaller
- Implementation:Ggml org Ggml Sycl element wise
- Implementation:CrewAIInc CrewAI Tool Assignment Config
- Implementation:Zai org CogVideo SAT Get Args
- Implementation:Kubeflow Pipelines MLMD Service Protobuf
- Implementation:Microsoft Onnxruntime Torch NN Module Construction
- Implementation:SeleniumHQ Selenium Closure String Internal
- Implementation:Infiniflow Ragflow UserService
- Implementation:Hpcaitech ColossalAI Trainer PerformanceEvaluator
- Implementation:Apache Paimon SchemaSerializer
Heuristics
- Heuristic:Avdvg InjectGuard Dataset Coverage Recall Bound
- Heuristic:ARISE Initiative Robosuite Hard Reset Vs Soft Reset
- Heuristic:Snorkel team Snorkel Binary Only Slicing
- Heuristic:CARLA simulator Carla Client Server Version Match
- Heuristic:Sail sg LongSpec Tree Shape Configuration
- Heuristic:CarperAI Trlx Partial Layer Freezing
- Heuristic:Kornia Kornia Avoid Inplace Ops Compile
- Heuristic:Openai Openai agents python GPT 5 Reasoning Settings
- Heuristic:ARISE Initiative Robomimic Data Worker Tuning By Modality
- Heuristic:Recommenders team Recommenders Test Timing Budgets
Environments
- Environment:Langgenius Dify Docker Deployment Environment
- Environment:Arize ai Phoenix Python Runtime
- Environment:Apache Dolphinscheduler Database Backend
- Environment:Spotify Luigi Hadoop HDFS Cluster
- Environment:Marker Inc Korea AutoRAG Python 3 10 Runtime
- Environment:Alibaba MNN GPU OpenCL Environment
- Environment:ChenghaoMou Text dedup Python 3 12 Environment
- Environment:LMCache LMCache VLLM Serving Engine
- Environment:Protectai Modelscan H5py Optional
- Environment:Facebookresearch Audiocraft Python PyTorch CUDA Environment