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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:Neuml Txtai Semantic Search
- Workflow:Roboflow Rf detr Custom Dataset Finetuning
- Workflow:PrefectHQ Prefect AI Data Analyst Agent
- Workflow:Nautechsystems Nautilus trader Live trading deployment
- Workflow:Lucidrains X transformers Autoregressive Language Modeling
- Workflow:Langfuse Langfuse Trace ingestion pipeline
- Workflow:Ucbepic Docetl Long Document Chunking
- Workflow:Microsoft Autogen Multi Agent Conversation
- Workflow:Run llama Llama index Embedding Finetuning
- Workflow:Confident ai Deepeval Synthetic Dataset Generation
Principles
- Principle:Ggml org Llama cpp GrammarConstrained
- Principle:Vespa engine Vespa Runtime Level Control
- Principle:SeleniumHQ Selenium Bazel Build Verification
- Principle:PrefectHQ Prefect Durable AI Execution
- Principle:Astronomer Astronomer cosmos Render Configuration
- Principle:Dotnet Machinelearning Binary Model Evaluation
- Principle:Zai org CogVideo Vector Quantization
- Principle:OpenHands OpenHands Sandbox Cleanup
- Principle:Bentoml BentoML Model Cloud Sync
- Principle:Langchain ai Langgraph Multi Agent Research Pattern
Implementations
- Implementation:EvolvingLMMs Lab Lmms eval WildVision Bench Evaluation Utils
- Implementation:Open compass VLMEvalKit EgoExoBench Utils
- Implementation:Microsoft Playwright WkProvisionalPage
- Implementation:Allenai Open instruct AutoModelForSequenceClassification From Pretrained
- Implementation:Online ml River Metrics SMAPE
- Implementation:Open compass VLMEvalKit VCRBench
- Implementation:Guardrails ai Guardrails Guard Load
- Implementation:Open compass VLMEvalKit Check Command
- Implementation:FlowiseAI Flowise AddEditDatasetDialog
- Implementation:Intel Ipex llm IpexLLM From Model Id
Heuristics
- Heuristic:Unstructured IO Unstructured Multi Python Matrix
- Heuristic:Huggingface Diffusers Guidance Scale Defaults
- Heuristic:InternLM Lmdeploy Backend Selection Strategy
- Heuristic:NVIDIA NeMo Aligner PPO NCCL Algorithm Setting
- Heuristic:Sgl project Sglang Chunked Prefill OOM Prevention
- Heuristic:NVIDIA DALI Last Batch Policy Selection
- Heuristic:Unslothai Unsloth Gradient Checkpointing Modes
- Heuristic:Bentoml BentoML Warning Deprecated Server Module
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Strategy Selection
- Heuristic:Testtimescaling Testtimescaling github io Hardcoded IDs vs Registry
Environments
- Environment:Heibaiying BigData Notes Hadoop CDH Environment
- Environment:Confident ai Deepeval Python 3 9 Runtime
- Environment:Confident ai Deepeval LLM Provider Credentials
- Environment:ClickHouse ClickHouse CI Docker Environment
- Environment:EvolvingLMMs Lab Lmms eval Server Mode Environment
- Environment:MaterializeInc Materialize Dbt Materialize Runtime
- Environment:Run llama Llama index OpenAI API Configuration
- Environment:Microsoft Onnxruntime Nodejs Runtime Environment
- Environment:LMCache LMCache NIXL Transfer Library
- Environment:FMInference FlexLLMGen HuggingFace Access