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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:Datahub project Datahub Metadata Actions Pipeline
- Workflow:Confident ai Deepeval LLM Tracing and Observability
- Workflow:Duckdb Duckdb Code Generation Pipeline
- Workflow:Huggingface Datasets Format Conversion
- Workflow:Huggingface Peft DreamBooth LoRA Diffusion
- Workflow:Microsoft Playwright Network mocking and interception
- Workflow:Helicone Helicone LLM Response Normalization
- Workflow:Teamcapybara Capybara Selenium Driver Configuration
- Workflow:Princeton nlp SimPO On Policy Data Generation
- Workflow:Microsoft Agent framework Graph Based Workflow Execution
Principles
- Principle:Microsoft Semantic kernel Plugin Registration
- Principle:ARISE Initiative Robosuite USD Scene Export
- Principle:Iterative Dvc Experiment Workspace Preparation
- Principle:Datajuicer Data juicer Operator Type Selection
- Principle:Pola rs Polars Window Function Application
- Principle:Helicone Helicone Environment Configuration
- Principle:Langchain ai Langgraph Tool Validation
- Principle:Testtimescaling Testtimescaling github io Event Driven Step Progression
- Principle:Huggingface Diffusers Quantization Configuration
- Principle:Mit han lab Llm awq Vision Language Projection
Implementations
- Implementation:Apache Druid Formatting And Array Manipulation
- Implementation:Ucbepic Docetl Register Eval
- Implementation:Cohere ai Cohere python Vector Retrieval Pattern
- Implementation:Triton inference server Server Trtllm Build
- Implementation:Openai Openai python Shared Params Compound Filter
- Implementation:Elevenlabs Elevenlabs python WorkflowPhoneNumberNodeModelOutput
- Implementation:Ollama Ollama Imagegen Tokenizer
- Implementation:AUTOMATIC1111 Stable diffusion webui UI Common
- Implementation:Microsoft Onnxruntime JsPackageLock
- Implementation:CrewAIInc CrewAI Flow Routing Primitives
Heuristics
- Heuristic:Ggml org Llama cpp GPU Layer Offloading Verification
- Heuristic:Vespa engine Vespa Maven Parallel Build Optimization
- Heuristic:Princeton nlp Tree of thought llm Duplicate Candidate Zeroing
- Heuristic:Sktime Pytorch forecasting Target Normalization Transforms
- Heuristic:Hiyouga LLaMA Factory Mixed Precision Training Tips
- Heuristic:Hpcaitech ColossalAI Gradient Checkpointing Memory Tip
- Heuristic:FlowiseAI Flowise Tool Ordering Convention
- Heuristic:Haotian liu LLaVA Image Aspect Ratio Padding Strategy
- Heuristic:Arize ai Phoenix Notebook Event Loop Patching
- Heuristic:ContextualAI HALOs LoRA Merge At Save
Environments
- Environment:Microsoft BIPIA DeepSpeed Finetuning Environment
- Environment:PrefectHQ Prefect AI Integration Credentials
- Environment:EvolvingLMMs Lab Lmms eval API Credentials Environment
- Environment:Allenai Open instruct Beaker Cluster
- Environment:Mistralai Client python Realtime Transcription Environment
- Environment:Tensorflow Tfjs Browser Runtime
- Environment:Sgl project Sglang OpenAI
- Environment:Wandb Weave Python SDK Runtime
- Environment:LMCache LMCache CUDA GPU Runtime
- Environment:Intel Ipex llm CPU Finetuning Environment