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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:Vespa engine Vespa Config subscription lifecycle
- Workflow:Sgl project Sglang Frontend Language Multi Turn Chat
- Workflow:Haotian liu LLaVA Single Image Inference
- Workflow:Spotify Luigi Hadoop MapReduce Pipeline
- Workflow:Obss Sahi COCO Evaluation
- Workflow:Promptfoo Promptfoo LLM Evaluation
- Workflow:Unslothai Unsloth GRPO Reinforcement Learning
- Workflow:Openai Evals Creating a model graded eval
- Workflow:Pyro ppl Pyro MCMC Inference
- Workflow:Spotify Luigi Spark Processing Pipeline
Principles
- Principle:Rapidsai Cuml Multiclass Classification Strategy
- Principle:Scikit learn contrib Imbalanced learn Sphinx Documentation Configuration
- Principle:Cleanlab Cleanlab Object Detection Visualization
- Principle:Cleanlab Cleanlab Object Detection Quality Scoring
- Principle:OpenRLHF OpenRLHF Prompt Dataset Construction
- Principle:Protectai Llm guard Input Scanner Factory Pattern
- Principle:Openai Evals Few Shot Prompting
- Principle:Triton inference server Server Source Build
- Principle:Princeton nlp SimPO Environment Setup
- Principle:Getgauge Taiko Button Selection
Implementations
- Implementation:DistrictDataLabs Yellowbrick GridSearchColorPlot
- Implementation:Anthropics Anthropic sdk python Pydantic Compat
- Implementation:Microsoft Onnxruntime DataLoader Init
- Implementation:Risingwavelabs Risingwave SinkValidationHandler
- Implementation:Alibaba ROLL Diffusion DeepSpeed Cluster
- Implementation:Openai Openai node Jobs Create
- Implementation:OpenHands OpenHands SPAStaticFiles Mount
- Implementation:Anthropics Anthropic sdk python BetaMessage
- Implementation:Hiyouga LLaMA Factory WebUI Data Component
- Implementation:Duckdb Duckdb Parquet Types
Heuristics
- Heuristic:Explodinggradients Ragas Failed Metrics Return NaN
- Heuristic:Onnx Onnx Protobuf 2GB Limit Workaround
- Heuristic:Openai Evals Model Graded Eval Design
- Heuristic:Apache Druid Capability Detection Strategy
- Heuristic:Apache Shardingsphere Shadow Routing Hint First Fallback
- Heuristic:Facebookresearch Habitat lab Warning Deprecated Legacy UI System
- Heuristic:TobikoData Sqlmesh Forward Only Safety
- Heuristic:Openai Openai agents python MCP Server Lifecycle Management
- Heuristic:SeleniumHQ Selenium Cross Binding Consistency Check
- Heuristic:Run llama Llama index Worker Count Configuration
Environments
- Environment:Spcl Graph of thoughts Local LLaMA GPU Inference
- Environment:Datahub project Datahub Spark Lineage Environment
- Environment:Explodinggradients Ragas Optional Metrics Environment
- Environment:ChenghaoMou Text dedup Python 3 12 Environment
- Environment:Scikit learn Scikit learn OpenMP Thread Configuration
- Environment:Lucidrains X transformers Python Environment
- Environment:Volcengine Verl CUDA GPU Environment
- Environment:Interpretml Interpret Visualization Environment
- Environment:Isaac sim IsaacGymEnvs Python CUDA Runtime
- Environment:Microsoft Agent framework API Credentials