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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 |
Explore Pages
Workflows
- Workflow:Neuml Txtai Agent Orchestration
- Workflow:SeldonIO Seldon core Production Monitoring Pipeline
- Workflow:Openai Openai agents python Human In The Loop Approval
- Workflow:Duckdb Duckdb Source Amalgamation And Packaging
- Workflow:Eventual Inc Daft Distributed UDF Processing
- Workflow:Googleapis Python genai Text Content Generation
- Workflow:Apache Flink File Source Pipeline
- Workflow:Heibaiying BigData Notes Hadoop MapReduce Word Count
- Workflow:CarperAI Trlx RLHF Dialogue Alignment
- Workflow:Turboderp org Exllamav2 Text Generation
Principles
- Principle:Dagster io Dagster Resource Management
- Principle:Microsoft Semantic kernel Prompt With Function Calling
- Principle:Protectai Modelscan CLI Scan Interface
- Principle:Fede1024 Rust rdkafka Transactional Message Production
- Principle:Haifengl Smile Matrix Arithmetic
- Principle:Sdv dev SDV Demo Data Loading
- Principle:Openclaw Openclaw Multi Agent Architecture
- Principle:Diagram of thought Diagram of thought Problem Formulation
- Principle:Apache Airflow RC Verification
- Principle:Haosulab ManiSkill Tensor RNG Reward Primitives
Implementations
- Implementation:Sktime Pytorch forecasting DeepAR Predict
- Implementation:Datahub project Datahub ProtobufField
- Implementation:ThreeSR Awesome Inference Time Scaling GitHub Fork And Clone
- Implementation:FlowiseAI Flowise UpsertHistoryDetailsDialog
- Implementation:Lance format Lance Dataset Restore
- Implementation:Mbzuai oryx Awesome LLM Post training Json Load Corpus
- Implementation:OpenHands OpenHands GitlabManager
- Implementation:Online ml River Anomaly OneClassSVM
- Implementation:BerriAI Litellm Check Batch Cost
- Implementation:Getgauge Taiko DragAndDrop
Heuristics
- Heuristic:Marker Inc Korea AutoRAG Batch Size Tuning
- Heuristic:Tensorflow Serving Warning Deprecated CreateTfrtSavedModel Raw
- Heuristic:Lance format Lance IO Buffer And Batch Sizing
- Heuristic:Langchain ai Langchain Text Splitter Separator Hierarchy
- Heuristic:ARISE Initiative Robomimic Data Worker Tuning By Modality
- Heuristic:Huggingface Optimum Version Conditional Behavior
- Heuristic:Iamhankai Forest of Thought Self Correction Confidence Threshold
- Heuristic:Huggingface Open r1 Code Execution Timeout Strategy
- Heuristic:Microsoft LoRA LoRA Rank Selection
- Heuristic:Pyro ppl Pyro Gradient Variance Reduction
Environments
- Environment:DevExpress Testcafe Firefox Marionette
- Environment:Interpretml Interpret Blackbox Explainer Dependencies
- Environment:Cohere ai Cohere python AWS Integration Dependencies
- Environment:TobikoData Sqlmesh Dbt Compatibility
- Environment:Openai CLIP PyTorch CUDA Runtime
- Environment:Apache Flink Hadoop Compatibility Environment
- Environment:HKUDS AI Trader Python LangChain Runtime
- Environment:Unstructured IO Unstructured OpenAI API
- Environment:Farama Foundation Gymnasium Python 3 10 Runtime
- Environment:DevExpress Testcafe Docker Xvfb Container