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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:Romsto Speculative Decoding Interactive CLI Comparison
- Workflow:Arize ai Phoenix Trace Ingestion Pipeline
- Workflow:Langgenius Dify Plugin Management
- Workflow:Open compass VLMEvalKit API Model Evaluation
- Workflow:Norrrrrrr lyn WAInjectBench Image Prompt Injection Detection
- Workflow:Facebookresearch Habitat lab HITL Interactive Evaluation
- Workflow:Pytorch Serve Model Deployment
- Workflow:ChenghaoMou Text dedup SimHash Deduplication
- Workflow:Protectai Llm guard PII Anonymization Deanonymization
- Workflow:Tensorflow Serving Kubernetes Deployment
Principles
- Principle:LLMBook zh LLMBook zh github io DPO Model Loading
- Principle:Duckdb Duckdb JSON Processing
- Principle:Explodinggradients Ragas Tool Call Accuracy Evaluation
- Principle:Webdriverio Webdriverio CapabilityIntrospection
- Principle:OpenBMB UltraFeedback Critique Annotation
- Principle:Openai Openai node Chat Completion Invocation
- Principle:ClickHouse ClickHouse SIMD String Hashing
- Principle:AUTOMATIC1111 Stable diffusion webui Text Encoding
- Principle:CarperAI Trlx Rejection Fine Tuning
- Principle:Mit han lab Llm awq Distributed Model Serving
Implementations
- Implementation:Dotnet Machinelearning BinaryClassification Evaluate
- Implementation:Norrrrrrr lyn WAInjectBench torch save Checkpoint
- Implementation:Openai Openai node FineTuning Resource
- Implementation:Infiniflow Ragflow Build Chunks
- Implementation:Allenai Open instruct Save With Accelerate
- Implementation:Run llama Llama index QueryFusionRetriever
- Implementation:OWASP Www project top 10 for large language model applications ReportTemplate Render
- Implementation:Scikit learn Scikit learn VarianceThreshold
- Implementation:ChenghaoMou Text dedup Save Dataset
- Implementation:Apache Airflow SchedulerJobRunner Loop
Heuristics
- Heuristic:Nautechsystems Nautilus trader Cache Buffer Interval Tuning
- Heuristic:Explodinggradients Ragas Deprecation Migration Guide
- Heuristic:Mlc ai Web llm Service Worker Keep Alive
- Heuristic:Unstructured IO Unstructured Libmagic Filetype Accuracy
- Heuristic:Kubeflow Kubeflow Stale Issue Lifecycle Management
- Heuristic:Microsoft Autogen Model Context Limiting
- Heuristic:Mbzuai oryx Awesome LLM Post training Excel Sheet Name Truncation
- Heuristic:Guardrails ai Guardrails RAIL Argument Parsing Security
- Heuristic:Openai Openai node Warning Deprecated Assistants API
- Heuristic:TA Lib Ta lib python Compatibility Mode Switching
Environments
- Environment:Alibaba ROLL ROCm GPU Environment
- Environment:Huggingface Datatrove Slurm Cluster Environment
- Environment:Truera Trulens OpenAI Provider Environment
- Environment:Alibaba ROLL SGLang Inference Environment
- Environment:Astronomer Astronomer cosmos Python Airflow Runtime
- Environment:Alibaba MNN HuggingFace Ecosystem Environment
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:ARISE Initiative Robomimic HDF5 Data Dependencies
- Environment:Romsto Speculative Decoding CUDA PyTorch
- Environment:Cleanlab Cleanlab Image Quality Dependencies