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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:Kubeflow Kubeflow Platform Deployment
- Workflow:Googleapis Python genai Context Caching
- Workflow:Mlc ai Mlc llm REST API Serving
- Workflow:Microsoft Playwright End to end test authoring
- Workflow:Ggml org Llama cpp Model Perplexity Evaluation
- Workflow:Predibase Lorax Structured JSON Output
- Workflow:Arize ai Phoenix Dataset and Experiment Lifecycle
- Workflow:OWASP Www project top 10 for large language model applications Vulnerability Translation
- Workflow:Danijar Dreamerv3 Train And Evaluate
- Workflow:Interpretml Interpret EBM Training And Prediction
Principles
- Principle:MaterializeInc Materialize Source and Model Definition
- Principle:Lm sys FastChat LLM Prompt Classification
- Principle:Cohere ai Cohere python Tool Schema Definition
- Principle:TobikoData Sqlmesh Dbt Project Assessment
- Principle:Testtimescaling Testtimescaling github io Comparison Table Editing
- Principle:Ollama Ollama GGUF Model Conversion Glm4MoeLite
- Principle:Kubeflow Pipelines Pipeline Compilation
- Principle:Huggingface Datasets Row Count Inspection
- Principle:LaurentMazare Tch rs Convolutional Layer
- Principle:Mit han lab Llm awq Vision Language Projection
Implementations
- Implementation:Open compass VLMEvalKit EgoExoBench Utils
- Implementation:Online ml River Linear Model SoftmaxRegression
- Implementation:OpenGVLab InternVL LLaVA Model Worker
- Implementation:NVIDIA TransformerEngine JAX Quantize Helper
- Implementation:ArroyoSystems Arroyo Webhook Connector
- Implementation:Neuml Txtai PGText Scoring
- Implementation:Scikit learn Scikit learn TargetEncoder
- Implementation:Promptfoo Promptfoo Plugins Data Catalog
- Implementation:Avhz RustQuant FFT
- Implementation:Huggingface Datasets Dataset Set Format
Heuristics
- Heuristic:Mlc ai Web llm KV Cache Window Configuration
- Heuristic:Anthropics Anthropic sdk python Streaming For Long Requests
- Heuristic:Kubeflow Kubeflow Issue Routing To Sub Repos
- Heuristic:Tencent Ncnn FP16 Precision Selection
- Heuristic:Cleanlab Cleanlab Object Detection Scoring Constants
- Heuristic:Roboflow Rf detr Layer Wise LR Decay
- Heuristic:Fede1024 Rust rdkafka Cooperative Rebalance Protocol
- Heuristic:Apache Spark K8s Container Patterns
- Heuristic:Gretelai Gretel synthetics Gumbel Softmax NaN Retry
- Heuristic:Teamcapybara Capybara Negative Predicate Matching
Environments
- Environment:NVIDIA NeMo Aligner PyTriton Serving Environment
- Environment:Apache Kafka Gradle Build Environment
- Environment:Open compass VLMEvalKit GPU CUDA Environment
- Environment:Bitsandbytes foundation Bitsandbytes XPU SYCL Runtime
- Environment:TA Lib Ta lib python TA Lib C Library
- Environment:ArroyoSystems Arroyo Webui Runtime
- Environment:Spotify Luigi AWS S3 Storage
- Environment:Hiyouga LLaMA Factory FP8 Training Environment
- Environment:Allenai Open instruct vLLM Inference
- Environment:Promptfoo Promptfoo Browser Automation