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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:SqueezeAILab ETS Answer Evaluation Pipeline
- Workflow:Allenai Open instruct Tulu3 Full Post Training
- Workflow:Deepset ai Haystack Hybrid Document Search
- Workflow:Axolotl ai cloud Axolotl DPO Preference Alignment
- Workflow:Bentoml BentoML Multi Model Composition
- Workflow:Openai Openai python Chat Completion
- Workflow:Mage ai Mage ai Building a New Source Connector
- Workflow:Webdriverio Webdriverio Component Testing
- Workflow:CrewAIInc CrewAI Crew Training And Testing
- Workflow:Mistralai Client python OCR Document Processing
Principles
- Principle:Sdv dev SDV Cardinality Analysis
- Principle:FMInference FlexLLMGen Model Replacement Policy
- Principle:HKUDS AI Trader Performance Visualization
- Principle:LMCache LMCache Engine Configuration
- Principle:Langchain ai Langgraph Multi Agent Research Pattern
- Principle:Alibaba MNN Diffusion Engine Compilation
- Principle:CARLA simulator Carla Sensor Attachment
- Principle:Apache Spark Container Image Build
- Principle:Bentoml BentoML Composed Pipeline Testing
- Principle:Ggml org Llama cpp Training
Implementations
- Implementation:Googleapis Python genai Client Init
- Implementation:Scikit learn contrib Imbalanced learn InstanceHardnessThreshold
- Implementation:Cohere ai Cohere python Document Model
- Implementation:Tencent Ncnn ModelWriter
- Implementation:Neuml Txtai HFModel
- Implementation:Sgl project Sglang Expert Specialization
- Implementation:FlowiseAI Flowise Table
- Implementation:CrewAIInc CrewAI Patronus Predefined Eval Tool
- Implementation:BerriAI Litellm Completion
- Implementation:Recommenders team Recommenders Benchmark Prepare Training
Heuristics
- Heuristic:Explodinggradients Ragas Retry And Backoff Configuration
- Heuristic:MarketSquare Robotframework browser Docker Chrome Security
- Heuristic:Mage ai Mage ai Sorted Data Bookmark Strategy
- Heuristic:NVIDIA DALI Warning Deprecated C API V1 Functions
- Heuristic:Openai Evals Chat Format Recommendation
- Heuristic:Protectai Modelscan Stricter Zip Detection
- Heuristic:Microsoft Onnxruntime ORTModule Wrapping Order
- Heuristic:Onnx Onnx Big Endian Byte Order Handling
- Heuristic:Openai Openai agents python MCP Server Lifecycle Management
- Heuristic:Marker Inc Korea AutoRAG GPU Memory Cleanup Pattern
Environments
- Environment:LMCache LMCache CUDA GPU Runtime
- Environment:Openai Evals OpenAI API Configuration
- Environment:Iterative Dvc Git SCM Environment
- Environment:Unslothai Unsloth Llama Cpp
- Environment:Deepspeedai DeepSpeed CPU Environment
- Environment:ArroyoSystems Arroyo PostgreSQL Database
- Environment:PrefectHQ Prefect Python Runtime Environment
- Environment:Duckdb Duckdb Extension Distribution Env
- Environment:Langchain ai Langgraph Python Runtime Environment
- Environment:Fastai Fastbook Python FastAI Environment