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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:Danijar Dreamerv3 Single Process Training
- Workflow:Anthropics Anthropic sdk python Structured Output Extraction
- Workflow:Open compass VLMEvalKit Adding Custom VLM
- Workflow:Apache Druid Visual Data Exploration
- Workflow:Interpretml Interpret EBM Model Export
- Workflow:Mlflow Mlflow Model Serving
- Workflow:AUTOMATIC1111 Stable diffusion webui Image to image generation
- Workflow:Axolotl ai cloud Axolotl DPO Preference Alignment
- Workflow:Mistralai Client python OCR Document Processing
- Workflow:Microsoft Semantic kernel Vector Store RAG Pipeline
Principles
- Principle:Datajuicer Data juicer QA Calibration
- Principle:Zai org CogVideo DDIM Video Export
- Principle:Scikit learn Scikit learn Text Feature Extraction
- Principle:Infiniflow Ragflow Document Parsing
- Principle:Sgl project Sglang Engine Lifecycle Management
- Principle:Nautechsystems Nautilus trader Instrument Specification
- Principle:Langchain ai Langchain Rate Limiting
- Principle:Cypress io Cypress Contribution Workflow
- Principle:Scikit learn Scikit learn Dataset Loading
- Principle:Tencent Ncnn Top K Classification
Implementations
- Implementation:FlowiseAI Flowise ChatPopUp
- Implementation:Microsoft Autogen DatabaseManager Operations
- Implementation:EvolvingLMMs Lab Lmms eval Package Installation
- Implementation:Diagram of thought Diagram of thought Node Edge Status Regex Extraction
- Implementation:Google deepmind Dm control Composer Entity
- Implementation:Ollama Ollama MLXRunner Ops
- Implementation:SeleniumHQ Selenium HasFederatedCredentialManagement
- Implementation:NVIDIA DALI Schema Register Macros
- Implementation:Dotnet Machinelearning MklFftProxy
- Implementation:Scikit learn Scikit learn NearestNeighbors
Heuristics
- Heuristic:Huggingface Transformers Label Smoothing Multi Label Warning
- Heuristic:Dagster io Dagster Record Over Dataclass
- Heuristic:Liu00222 Open Prompt Injection Defense Strategy Selection
- Heuristic:Langgenius Dify Celery Queue Separation
- Heuristic:Axolotl ai cloud Axolotl Gradient Checkpointing Reentrant Rules
- Heuristic:Langchain ai Langchain Retry Scope Best Practice
- Heuristic:CarperAI Trlx Batch Size Tuning
- Heuristic:LMCache LMCache Health Monitor Thresholds
- Heuristic:Huggingface Datatrove FineWeb Filter Pipeline Order
- Heuristic:Facebookresearch Habitat lab Resume State Config Override
Environments
- Environment:Spotify Luigi PostgreSQL Server
- Environment:ThreeSR Awesome Inference Time Scaling GitHub Account Environment
- Environment:Recommenders team Recommenders Spark Environment
- Environment:Pyro ppl Pyro Distributed Training
- Environment:Microsoft DeepSpeedExamples ZeRO Inference Runtime
- Environment:Apache Dolphinscheduler Node Pnpm Runtime
- Environment:Infiniflow Ragflow Frontend Node Environment
- Environment:Promptfoo Promptfoo SQLite Database
- Environment:Apache Beam Java Build Environment
- Environment:ArroyoSystems Arroyo PostgreSQL Database