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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:Openclaw Openclaw Plugin And Skill Extension
- Workflow:Huggingface Transformers Pipeline Inference
- Workflow:Mlc ai Web llm Function Calling
- Workflow:FMInference FlexLLMGen Data Wrangling Batch Inference
- Workflow:Ggml org Llama cpp Multimodal Inference
- Workflow:Google deepmind Dm control Multi Agent Soccer Setup
- Workflow:Alibaba MNN Model Conversion Pipeline
- Workflow:Sdv dev SDV Data quality evaluation
- Workflow:FlowiseAI Flowise Evaluation Pipeline
- Workflow:Huggingface Datasets Dataset Loading and Exploration
Principles
- Principle:Langchain ai Langgraph ReAct Agent Construction
- Principle:Webdriverio Webdriverio Custom Reporter Development
- Principle:EvolvingLMMs Lab Lmms eval Model Configuration
- Principle:Mage ai Mage ai Source Connector Scaffolding
- Principle:Apache Beam Classpath Packaging
- Principle:Lm sys FastChat Environment Setup
- Principle:Huggingface Datatrove Dataset Card Generation
- Principle:Run llama Llama index Finetuned Model Retrieval
- Principle:Interpretml Interpret Interaction Detection
- Principle:Deepspeedai DeepSpeed Environment Setup
Implementations
- Implementation:Datajuicer Data juicer MCP Server
- Implementation:Microsoft DeepSpeedExamples GAN Generator Discriminator
- Implementation:Facebookresearch Habitat lab Task Utils
- Implementation:Apache Druid ValuesFilterControl
- Implementation:SeleniumHQ Selenium WindowType
- Implementation:Online ml River Forecaster Learn One
- Implementation:Apache Airflow SchedulerJobRunner Loop
- Implementation:Vllm project Vllm SGL GEMM
- Implementation:SqueezeAILab ETS Sglang ETS Installation
- Implementation:Evidentlyai Evidently Legacy Generate Column Metrics
Heuristics
- Heuristic:Ollama Ollama Multimodal Parallel Restriction
- Heuristic:AnswerDotAI RAGatouille Collection Size Index Tuning
- Heuristic:Isaac sim IsaacGymEnvs DR Setup Only Flag
- Heuristic:AnswerDotAI RAGatouille FAISS Vs PyTorch KMeans Indexing
- Heuristic:Volcengine Verl Layered Summon Memory Tradeoff
- Heuristic:PeterL1n BackgroundMattingV2 Refine Mode Selection
- Heuristic:Huggingface Peft Gradient Checkpointing With Quantization
- Heuristic:Facebookresearch Audiocraft FSDP Distributed Training Tips
- Heuristic:SqueezeAILab ETS Thread Parallelism Suppression
- Heuristic:Online ml River SNARIMAX Default Regressor Pipeline
Environments
- Environment:Vllm project Vllm Distributed
- Environment:BerriAI Litellm Observability Stack
- Environment:Huggingface Alignment handbook DeepSpeed Multi Node
- Environment:CarperAI Trlx DeepSpeed Multi GPU
- Environment:Huggingface Optimum Tensor Parallelization Environment
- Environment:Promptfoo Promptfoo SQLite Database
- Environment:SeldonIO Seldon core Python ML Dependencies Environment
- Environment:Mlc ai Web llm Node Build Toolchain
- Environment:Vespa engine Vespa FNET Transport Config
- Environment:Kubeflow Pipelines Python SDK