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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:Junyanz Pytorch CycleGAN and pix2pix Pix2pix Training
- Workflow:OpenRLHF OpenRLHF Math Reasoning Training
- Workflow:Confident ai Deepeval AI Agent Evaluation
- Workflow:CrewAIInc CrewAI Hierarchical Crew Execution
- Workflow:Kserve Kserve Deploying InferenceService
- Workflow:Ollama Ollama OpenAI API Compatibility
- Workflow:Intel Ipex llm QLoRA Finetuning
- Workflow:Kubeflow Kubeflow Release Management
- Workflow:Confident ai Deepeval End to End LLM Evaluation
- Workflow:Openclaw Openclaw Plugin And Skill Extension
Principles
- Principle:MaterializeInc Materialize Feature Performance Regression Detection
- Principle:Microsoft Agent framework Response Aggregation
- Principle:Spotify Luigi Table Schema Definition
- Principle:Apache Spark Release Version Tagging
- Principle:LaurentMazare Tch rs PyTorch Binding Code Generation
- Principle:Huggingface Optimum Model Download and Configuration
- Principle:MaterializeInc Materialize Dbt Command Execution
- Principle:LaurentMazare Tch rs Tensor Shape Abstraction
- Principle:Neuml Txtai Custom Function Tools
- Principle:Vespa engine Vespa Document Operation Reception
Implementations
- Implementation:ArroyoSystems Arroyo Execution Engine Start
- Implementation:Microsoft Onnxruntime CPU LSTM Forward
- Implementation:VainF Torch Pruning Group Prune
- Implementation:Datahub project Datahub SparkStreamingEventToDatahub
- Implementation:Hiyouga LLaMA Factory V1 Accelerator Helper
- Implementation:Openai Openai python Shared Chat Model
- Implementation:Datahub project Datahub ProtobufDescriptorUtils
- Implementation:Pytorch Serve Spm Dataset
- Implementation:ArroyoSystems Arroyo Connection Tester
- Implementation:Openai Openai python Response Prompt Param
Heuristics
- Heuristic:Princeton nlp SimPO Hyperparameter Tuning
- Heuristic:ClickHouse ClickHouse Banned Functions Thread Safety
- Heuristic:Astronomer Astronomer cosmos Static Parser Hang Workaround
- Heuristic:Openclaw Openclaw Conservative Error Retry Classification
- Heuristic:Eric mitchell Direct preference optimization FSDP Batch Size Per GPU
- Heuristic:DataTalksClub Data engineering zoomcamp Dbt Materialization Strategy
- Heuristic:Romsto Speculative Decoding Filler Top K Tuning
- Heuristic:Rapidsai Cuml Float64 Kernel Stability
- Heuristic:Spcl Graph of thoughts Four Bit Quantization For Local LLMs
- Heuristic:Lucidrains X transformers Flash Attention Configuration
Environments
- Environment:Sktime Pytorch forecasting Optuna Tuning Dependencies
- Environment:Kubeflow Kubeflow Kubectl Kustomize CLI Environment
- Environment:SqueezeAILab ETS Multi GPU Sglang Runtime
- Environment:Microsoft DeepSpeedExamples SuperOffload Runtime
- Environment:Openclaw Openclaw State Directory And Credentials
- Environment:LaurentMazare Tch rs Python Interop Environment
- Environment:ARISE Initiative Robomimic PyTorch CUDA Environment
- Environment:Truera Trulens LangChain LangGraph Environment
- Environment:Microsoft Semantic kernel DotNet SDK Environment
- Environment:SeldonIO Seldon core GPU Inference Environment