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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:Protectai Modelscan CLI Model Scanning
- Workflow:ArroyoSystems Arroyo Local Pipeline Execution
- Workflow:Vespa engine Vespa Logging framework initialization
- Workflow:Helicone Helicone LLM Request Proxy Logging
- Workflow:Roboflow Rf detr Custom Dataset Finetuning
- Workflow:Microsoft Agent framework Agent With Tool Approval
- Workflow:Protectai Llm guard Scanner Benchmarking
- Workflow:PrefectHQ Prefect Dbt Model Orchestration
- Workflow:Kornia Kornia Differentiable Image Augmentation
- Workflow:InternLM Lmdeploy LLM API Server Deployment
Principles
- Principle:Helicone Helicone Feature Gating
- Principle:AnswerDotAI RAGatouille Model Export
- Principle:Cypress io Cypress Code Signing
- Principle:Openai Evals Environment Setup
- Principle:ClickHouse ClickHouse Core Compiler Macros
- Principle:Huggingface Transformers Quantization Verification
- Principle:NVIDIA DALI Image Resize Augmentation
- Principle:Elevenlabs Elevenlabs python Text Source Preparation
- Principle:OpenHands OpenHands Sandbox Creation
- Principle:NVIDIA DALI Spatial Augmentation Detection
Implementations
- Implementation:NVIDIA NeMo Curator Modify
- Implementation:FlowiseAI Flowise GetNodesByCategory
- Implementation:Openai Openai python Query String
- Implementation:Online ml River Reco RandomNormal
- Implementation:Cohere ai Cohere python EmbedContent Union
- Implementation:Pyro ppl Pyro Distribution Utilities
- Implementation:BerriAI Litellm Run Server
- Implementation:Datajuicer Data juicer Ray Start Cluster
- Implementation:Explodinggradients Ragas LiteLLMEmbeddings Class
- Implementation:Bentoml BentoML Cloud BentoAPI
Heuristics
- Heuristic:Huggingface Peft DoRA Inference Caching
- Heuristic:CarperAI Trlx Delta Rewards
- Heuristic:Openclaw Openclaw Retry With Exponential Backoff
- Heuristic:Astronomer Astronomer cosmos Deprecation Migration Paths
- Heuristic:Mlfoundations Open flamingo Gradient Clipping Max Norm
- Heuristic:Openai Openai python Structured Output Strict Schema
- Heuristic:Arize ai Phoenix Adaptive Rate Limiting
- Heuristic:Lakeraai Pint benchmark Optimal Configuration Selection
- Heuristic:ArroyoSystems Arroyo Batch Size And Backpressure
- Heuristic:CrewAIInc CrewAI RAG Search Defaults
Environments
- Environment:HKUDS AI Trader API Credentials
- Environment:Sgl project Sglang Distributed
- Environment:Spcl Graph of thoughts OpenAI API Access
- Environment:Vllm project Vllm Benchmarks
- Environment:Vibrantlabsai Ragas Google Drive Backend Environment
- Environment:Kserve Kserve Knative Serving
- Environment:Elevenlabs Elevenlabs python Python Websockets
- Environment:Sgl project Sglang Web
- Environment:Intel Ipex llm XPU Inference Environment
- Environment:Intel Ipex llm Pipeline Parallel Environment