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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:Openai Openai python Embeddings Generation
- Workflow:Apache Hudi Flink Batch Incremental Read
- Workflow:Mage ai Mage ai Destination Data Loading
- Workflow:Google deepmind Dm control Locomotion Task Setup
- Workflow:Truera Trulens RAG Evaluation With LangChain
- Workflow:Langchain ai Langgraph Functional API Workflow
- Workflow:Neuml Txtai Semantic Search
- Workflow:FlowiseAI Flowise Evaluation Pipeline
- Workflow:Protectai Modelscan Custom Scanner Plugin
- Workflow:Alibaba MNN Model Conversion Pipeline
Principles
- Principle:Huggingface Datatrove Sentence Level Statistics
- Principle:Explodinggradients Ragas Persona Generation
- Principle:Huggingface Datasets Streaming Take
- Principle:Langchain ai Langgraph Thread Lifecycle Management
- Principle:Google research Deduplicate text datasets Substring Occurrence Querying
- Principle:Sktime Pytorch forecasting DeepAR Model Instantiation
- Principle:Pola rs Polars Input Data Preparation
- Principle:Pola rs Polars Time Range Filtering
- Principle:Apache Druid Data Transformation
- Principle:Huggingface Optimum GPTQ Quantizer Configuration
Implementations
- Implementation:Open compass VLMEvalKit StepAPI INT
- Implementation:AUTOMATIC1111 Stable diffusion webui Save image
- Implementation:Langgenius Dify Global Public Context
- Implementation:LMCache LMCache Distributed Storage Manager
- Implementation:Lance format Lance Java Compaction
- Implementation:ArroyoSystems Arroyo Node Server
- Implementation:Interpretml Interpret InteractionCore Hpp
- Implementation:TobikoData Sqlmesh EditorTabs
- Implementation:FMInference FlexLLMGen ExecutionEnv Close Copy Threads
- Implementation:Mage ai Mage ai Amazon S3 Source
Heuristics
- Heuristic:Microsoft Agent framework Async Context Manager Cleanup
- Heuristic:SqueezeAILab ETS Lambda Similarity Scaling
- Heuristic:DataExpert io Data engineer handbook Watermark Late Arrival Tolerance
- Heuristic:Langchain ai Langchain Warning Deprecated Langchain Classic
- Heuristic:Huggingface Alignment handbook Global Batch Size Scaling
- Heuristic:Datahub project Datahub Venv Copies Mode
- Heuristic:Mlc ai Web llm Low Resource Model Selection
- Heuristic:Alibaba MNN Warning Deprecated Winograd Codegen
- Heuristic:Speechbrain Speechbrain Data Augmentation Defaults
- Heuristic:Apache Druid Explore Compare Query Strategy
Environments
- Environment:Microsoft BIPIA Python CUDA GPU Environment
- Environment:Arize ai Phoenix OpenTelemetry SDK
- Environment:Openai Openai python Python 3 9 Plus
- Environment:Apache Flink Node Build Environment
- Environment:Haifengl Smile Native BLAS LAPACK ARPACK
- Environment:Neuml Txtai Python Core Environment
- Environment:Evidentlyai Evidently Python Core Environment
- Environment:Astronomer Astronomer cosmos Cloud Provider Dependencies
- Environment:Helicone Helicone Python ClickHouse Migrations
- Environment:Huggingface Diffusers Attention Backends