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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:Deepset ai Haystack Document Preprocessing Pipeline
- Workflow:BerriAI Litellm Observability Integration
- Workflow:Arize ai Phoenix Dataset and Experiment Lifecycle
- Workflow:SeldonIO Seldon core Production Monitoring Pipeline
- Workflow:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
- Workflow:Unstructured IO Unstructured Document Partitioning
- Workflow:ThreeSR Awesome Inference Time Scaling Manual Paper Contribution
- Workflow:Haifengl Smile Data Loading Pipeline
- Workflow:Iterative Dvc Pipeline Reproduction
- Workflow:Pola rs Polars SQL Query Interface
Principles
- Principle:Apache Paimon Multi Batch Data Writing
- Principle:Puppeteer Puppeteer Browser Launching
- Principle:OpenHands OpenHands Nested Server Configuration
- Principle:Datahub project Datahub Docker Quickstart Launch
- Principle:LaurentMazare Tch rs C FFI Bridge
- Principle:Mlflow Mlflow Scorer Definition
- Principle:Helicone Helicone Prerequisites Installation
- Principle:Pyro ppl Pyro Conditional Density Estimation
- Principle:SeleniumHQ Selenium Page Object Test Design
- Principle:Testtimescaling Testtimescaling github io Badge Data Generation
Implementations
- Implementation:Pytorch Serve Api Utils
- Implementation:TobikoData Sqlmesh EditorInspector
- Implementation:Datahub project Datahub AspectWithMetadata
- Implementation:Sktime Pytorch forecasting Encoder
- Implementation:Haotian liu LLaVA LazySupervisedDataset Init
- Implementation:Langchain ai Langgraph Langgraph Dev Command
- Implementation:InternLM Lmdeploy AttentionReference
- Implementation:NVIDIA NeMo Aligner Train GPT Knowledge Distillation
- Implementation:Datajuicer Data juicer ImageRemoveBackgroundMapper
- Implementation:Astronomer Astronomer cosmos Watcher Operators
Heuristics
- Heuristic:TobikoData Sqlmesh Execution Time Caching
- Heuristic:MarketSquare Robotframework browser Docker Chrome Security
- Heuristic:DevExpress Testcafe Window Resize Correction
- Heuristic:Cleanlab Cleanlab Multiprocessing Platform Strategy
- Heuristic:Apache Beam Watermark Update Throttling
- Heuristic:Kserve Kserve Multinode Replica Calculation
- Heuristic:Liu00222 Open Prompt Injection Cosine Similarity Segmentation Threshold
- Heuristic:SeldonIO Seldon core Autoscaling Dual Config Tip
- Heuristic:Scikit learn Scikit learn Feature Scaling Numerical Stability
- Heuristic:Isaac sim IsaacGymEnvs DR Setup Only Flag
Environments
- Environment:FlowiseAI Flowise Node Runtime Environment
- Environment:Tensorflow Tfjs Node Native Runtime
- Environment:Langchain ai Langgraph Python Runtime Environment
- Environment:Turboderp org Exllamav2 Build Toolchain
- Environment:Kornia Kornia PyTorch Python Environment
- Environment:Google research Deduplicate text datasets Python TFDS Environment
- Environment:Infiniflow Ragflow Python Runtime
- Environment:OpenRLHF OpenRLHF CUDA GPU Environment
- Environment:ClickHouse ClickHouse Python3 Test Environment
- Environment:Apache Paimon Python Core Runtime