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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:Datajuicer Data juicer Distributed Ray Processing
- Workflow:Huggingface Optimum GPTQ Quantization
- Workflow:Deepspeedai DeepSpeed Sequence Parallel Long Context Training
- Workflow:Interpretml Interpret EBM Model Merging
- Workflow:Run llama Llama index RAG Query Pipeline
- Workflow:Diagram of thought Diagram of thought DoT Prompt Customization
- Workflow:Predibase Lorax Structured JSON Output
- Workflow:Apache Paimon Table Read Write
- Workflow:Sktime Pytorch forecasting TFT Demand Forecasting
- Workflow:MarketSquare Robotframework browser Library Development and Release
Principles
- Principle:Ggml org Llama cpp Text Retrieval
- Principle:Alibaba ROLL MCoreAdapter DPO Training
- Principle:Infiniflow Ragflow Agent Creation
- Principle:DevExpress Testcafe CI Environment Setup
- Principle:Isaac sim IsaacGymEnvs Randomization State Initialization
- Principle:Open compass VLMEvalKit Model Validation
- Principle:Apache Beam Execution Driving
- Principle:Deepset ai Haystack Document Splitting
- Principle:PacktPublishing LLM Engineers Handbook Application Configuration Management
- Principle:Ggml org Llama cpp Sampling System
Implementations
- Implementation:Haosulab ManiSkill Gym Make BaseEnv
- Implementation:Anthropics Anthropic sdk python CompletionCreateParams
- Implementation:Microsoft Onnxruntime OrtSession JNI
- Implementation:Nightwatchjs Nightwatch Nightwatch CLI Init
- Implementation:Apache Druid ExploreHeaderBar
- Implementation:Apache Airflow Structlog Configuration
- Implementation:Teamcapybara Capybara RackTest Node
- Implementation:Sktime Pytorch forecasting FlattenHead
- Implementation:Groq Groq python ChatCompletionMessageParam
- Implementation:Haosulab ManiSkill WidowXAI
Heuristics
- Heuristic:Nautechsystems Nautilus trader Order Rate Limiting Configuration
- Heuristic:Apache Airflow DAG Complexity Reduction
- Heuristic:Langchain ai Langchain Retry Scope Best Practice
- Heuristic:Hiyouga LLaMA Factory Quantized Training Best Practices
- Heuristic:Mlc ai Web llm Tokenizer JSON Preference
- Heuristic:Predibase Lorax GPU Sampling Optimization
- Heuristic:Microsoft Onnxruntime ORTModule Wrapping Order
- Heuristic:PrefectHQ Prefect Retry Backoff Strategy
- Heuristic:ARISE Initiative Robomimic Video Recording Optimization
- Heuristic:Mage ai Mage ai HTTP Error Classification
Environments
- Environment:Lance format Lance SIMD And Platform Requirements
- Environment:Dotnet Machinelearning Platform Architecture Support
- Environment:Isaac sim IsaacGymEnvs Python CUDA Runtime
- Environment:Testtimescaling Testtimescaling github io Python 3 Runtime
- Environment:Intel Ipex llm Build Environment
- Environment:Run llama Llama index Fsspec Remote Storage
- Environment:Arize ai Phoenix Phoenix Server Runtime
- Environment:Scikit learn Scikit learn Python Runtime Environment
- Environment:Hiyouga LLaMA Factory FP8 Training Environment
- Environment:Apache Dolphinscheduler Netty Runtime