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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:FlagOpen FlagEmbedding Reranker Finetuning
- Workflow:Duckdb Duckdb Source Amalgamation And Packaging
- Workflow:Openai Evals Running a single eval
- Workflow:Apache Dolphinscheduler Workflow Execution Lifecycle
- Workflow:Dotnet Machinelearning ONNX Model Scoring
- Workflow:Fastai Fastbook NLP Text Classification
- Workflow:Vibrantlabsai Ragas Testset Generation
- Workflow:Kubeflow Kubeflow AI Lifecycle Pipeline
- Workflow:Infiniflow Ragflow Agent Workflow Building
- Workflow:Apache Flink Hybrid Source Switching
Principles
- Principle:InternLM Lmdeploy Generation Configuration
- Principle:Confident ai Deepeval Test Case Construction
- Principle:Huggingface Datatrove Text Formatting Framework
- Principle:Scikit learn Scikit learn Linear Regression
- Principle:DevExpress Testcafe Element Selection
- Principle:Princeton nlp SimPO Response Post Processing
- Principle:Langfuse Langfuse Prompt Cache Invalidation
- Principle:Datahub project Datahub Scheduled Ingestion
- Principle:Langgenius Dify Node Level Testing
- Principle:BerriAI Litellm Logging Payload Construction
Implementations
- Implementation:Mlflow Mlflow Version Module
- Implementation:MaterializeInc Materialize Mkpipeline Sh
- Implementation:Wandb Weave Legacy Methods Lint Rules
- Implementation:Evidentlyai Evidently Recsys Metrics
- Implementation:Huggingface Optimum TasksManager Get Exporter Config
- Implementation:Eventual Inc Daft Daft Sql Expr
- Implementation:FlowiseAI Flowise Register
- Implementation:Langfuse Langfuse ChatML Types
- Implementation:Openai Openai python Shared Params Function Definition
- Implementation:ArroyoSystems Arroyo Handle Checkpoint
Heuristics
- Heuristic:Openai CLIP JIT Vs Non JIT Loading
- Heuristic:Run llama Llama index Worker Count Configuration
- Heuristic:ARISE Initiative Robomimic BatchNorm To GroupNorm For EMA
- Heuristic:Apache Druid Cluster Health Diagnostic Thresholds
- Heuristic:Cohere ai Cohere python ToolCallV2 Auto UUID Override
- Heuristic:Triton inference server Server Documentation Standards
- Heuristic:Teamcapybara Capybara Negative Predicate Matching
- Heuristic:Kubeflow Kubeflow Issue Routing To Sub Repos
- Heuristic:Fastai Fastbook Dropout Regularization
- Heuristic:Roboflow Rf detr Small Dataset Oversampling
Environments
- Environment:SeleniumHQ Selenium Selenium Manager Runtime
- Environment:PrefectHQ Prefect Prefect Server Database
- Environment:Getgauge Taiko Linux System Libraries
- Environment:VainF Torch Pruning CUDA GPU Benchmarking
- Environment:Roboflow Rf detr ONNX Export Environment
- Environment:Huggingface Alignment handbook Python Transformers
- Environment:Huggingface Datasets PyTorch Integration
- Environment:Ray project Ray Docker GPU Environment
- Environment:Apache Hudi Flink Runtime Environment
- Environment:Huggingface Transformers Flash Attention 2 Env