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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:Mlc ai Mlc llm Disaggregated Serving
- Workflow:SeleniumHQ Selenium Selenium Grid Deployment
- Workflow:Wandb Weave Tracing Setup
- Workflow:MaterializeInc Materialize dbt Integration
- Workflow:Hiyouga LLaMA Factory Model Inference and Serving
- Workflow:Kornia Kornia Differentiable Image Augmentation
- Workflow:Cohere ai Cohere python Model Finetuning
- Workflow:PacktPublishing LLM Engineers Handbook RAG Inference
- Workflow:Nautechsystems Nautilus trader Data loading and cataloging
Principles
- Principle:Deepset ai Haystack Query Text Embedding
- Principle:Infiniflow Ragflow Search LLM Settings
- Principle:Vespa engine Vespa Tokenization
- Principle:Duckdb Duckdb Quantile Estimation
- Principle:Isaac sim IsaacGymEnvs Checkpoint Location
- Principle:Testtimescaling Testtimescaling github io Comparison Table Editing
- Principle:Sdv dev SDV Column Pair Visualization
- Principle:Openai Openai python Image Generation
- Principle:Truera Trulens LangChain App Wrapping
- Principle:Shiyu coder Kronos Tokenizer Encoding
Implementations
- Implementation:Mlc ai Web llm Package Lock
- Implementation:Rapidsai Cuml FIL Postproc Ops
- Implementation:Ggml org Llama cpp Llama Adapter LoRA Init
- Implementation:Google deepmind Dm control Maze Covering
- Implementation:Bentoml BentoML Framework TorchScript
- Implementation:Interpretml Interpret ClassificationTree And RegressionTree
- Implementation:Hiyouga LLaMA Factory WebUI Top Component
- Implementation:Openai Openai python Response Output Item Type
- Implementation:Tensorflow Serving SavedModelBuilder Multi Version
- Implementation:Confident ai Deepeval Synthesizer Generate Goldens From Contexts
Heuristics
- Heuristic:Hiyouga LLaMA Factory CUDA Memory Optimization
- Heuristic:TA Lib Ta lib python Compatibility Mode Switching
- Heuristic:Datahub project Datahub Emitter Selection Strategy
- Heuristic:Mage ai Mage ai HTTP Request Timeout Defaults
- Heuristic:Pola rs Polars Collect All For Diverging Queries
- Heuristic:DataTalksClub Data engineering zoomcamp DuckDB OOM Memory Management
- Heuristic:Cleanlab Cleanlab Multiprocessing Platform Strategy
- Heuristic:Mage ai Mage ai Sorted Data Bookmark Strategy
- Heuristic:Iamhankai Forest of Thought Input Length Overflow Recovery
- Heuristic:Kserve Kserve VLLM GPU Memory Utilization
Environments
- Environment:Tensorflow Tfjs Node Native Runtime
- Environment:Kubeflow Pipelines Kubernetes Cluster
- Environment:Sgl project Sglang CPU
- Environment:Open compass VLMEvalKit Python Runtime Environment
- Environment:Kserve Kserve SRIOV RDMA Network
- Environment:Microsoft DeepSpeedExamples CIFAR10 Training Environment
- Environment:Puppeteer Puppeteer Configuration Environment Variables
- Environment:Unstructured IO Unstructured Ingest CLI
- Environment:Webdriverio Webdriverio Cloud Service Credentials
- Environment:Huggingface Datasets Audio Video Dependencies