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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:Huggingface Optimum Automatic Tensor Parallelization
- Workflow:Avhz RustQuant Yield Curve Construction
- Workflow:Googleapis Python genai Multi Turn Chat
- Workflow:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
- Workflow:Intel Ipex llm LoRA Finetuning
- Workflow:Hiyouga LLaMA Factory DPO Preference Alignment
- Workflow:Mlc ai Web llm Text Embeddings And RAG
- Workflow:Predibase Lorax OpenAI Chat Completion
- Workflow:Tensorflow Serving Model Export And Serving
- Workflow:Microsoft Playwright End to end test authoring
Principles
- Principle:MaterializeInc Materialize Container Registry Publishing
- Principle:Apache Dolphinscheduler RPC Client Proxy Pattern
- Principle:TobikoData Sqlmesh PR Environment Creation
- Principle:Onnx Onnx Numpy Tensor Conversion
- Principle:Tensorflow Tfjs Convolutional Neural Networks
- Principle:Open compass VLMEvalKit Environment Setup
- Principle:Interpretml Interpret Global Explanation Generation
- Principle:SeleniumHQ Selenium CDP Event Subscription
- Principle:Sgl project Sglang Server Arguments Configuration
- Principle:ContextualAI HALOs Iterative Alignment Loop
Implementations
- Implementation:CARLA simulator Carla Commands API Spec
- Implementation:Mage ai Mage ai Chargebee Plan Model Events Schema
- Implementation:ARISE Initiative Robosuite TextureModder
- Implementation:Apache Shardingsphere ClusterPersistRepository Init
- Implementation:Apache Flink HadoopInputs
- Implementation:Run llama Llama index PromptMixin
- Implementation:Google deepmind Mujoco mjx benchmark
- Implementation:Microsoft Autogen AssistantAgent On Messages Stream
- Implementation:Trailofbits Fickling Create Polyglot
- Implementation:Triton inference server Server GenQaTrtPluginModels
Heuristics
- Heuristic:Dotnet Machinelearning Numerical Stability Guards
- Heuristic:Haosulab ManiSkill Rendering Memory Optimization
- Heuristic:Webdriverio Webdriverio Default Timeout Configuration
- Heuristic:Openai Openai agents python Sensitive Data Logging Defaults
- Heuristic:Apache Dolphinscheduler HikariCP Pool Tuning
- Heuristic:LMCache LMCache Chunk Size And Default Config
- Heuristic:Huggingface Datatrove MinHash Parameter Tuning
- Heuristic:Ggml org Ggml Gradient Accumulation Batch Sizing
- Heuristic:OWASP Www project top 10 for large language model applications Sandbox Containerization Pattern
- Heuristic:Intel Ipex llm NF4 Quantization Best Practice
Environments
- Environment:MaterializeInc Materialize Docker Compose Runtime
- Environment:Mlflow Mlflow GPU System Metrics Environment
- Environment:Kubeflow Kubeflow Kubectl Kustomize CLI Environment
- Environment:NVIDIA DALI CUDA GPU Environment
- Environment:NVIDIA TransformerEngine CUDA Toolkit Requirements
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:DataExpert io Data engineer handbook Python Development Environment
- Environment:Interpretml Interpret Python Core Environment
- Environment:Huggingface Open r1 vLLM Server
- Environment:MaterializeInc Materialize Python CI Builder Runtime