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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:MaterializeInc Materialize Docker Image Build
- Workflow:Haosulab ManiSkill Sim2Real Deployment
- Workflow:MarketSquare Robotframework browser API Testing via Browser
- Workflow:Bigscience workshop Petals Distributed Text Generation
- Workflow:Mlc ai Web llm Function Calling
- Workflow:Tencent Ncnn Image Classification Inference
- Workflow:NVIDIA TransformerEngine FP8 Training Quickstart
- Workflow:Online ml River Streaming Anomaly Detection
- Workflow:Openai Openai python Chat Completion
- Workflow:Mit han lab Llm awq TinyChat LLM Deployment
Principles
- Principle:Ggml org Llama cpp Debugging
- Principle:Haifengl Smile Matrix Construction
- Principle:Ggml org Llama cpp Model Acquisition
- Principle:Datahub project Datahub SDK Dependency Management
- Principle:CARLA simulator Carla Navigation Agent Architecture
- Principle:Webdriverio Webdriverio TestLifecycleHooks
- Principle:Langgenius Dify Documentation Localization
- Principle:PeterL1n BackgroundMattingV2 Dataset path configuration
- Principle:PrefectHQ Prefect Deployment Configuration Validation
- Principle:Eric mitchell Direct preference optimization DPO Loss
Implementations
- Implementation:Tensorflow Tfjs CenterCrop Layer
- Implementation:Tensorflow Serving HTTPServer Interface
- Implementation:TobikoData Sqlmesh EditorFooter
- Implementation:Teamcapybara Capybara Node Actions Fill In
- Implementation:Openai Openai python Response Reasoning Text Done
- Implementation:Lance format Lance AccumulationQueue
- Implementation:Tencent Ncnn Letterbox Resize And Pad
- Implementation:Isaac sim IsaacGymEnvs CommonAgent Train
- Implementation:Snorkel team Snorkel Generate Simple Label Matrix
- Implementation:Astronomer Astronomer cosmos ExecutionConfig Init
Heuristics
- Heuristic:Pytorch Serve Ampere Tensor Core Optimization
- Heuristic:ARISE Initiative Robosuite Numba BSOD Workaround
- Heuristic:Kubeflow Pipelines Component URL Commit SHA Pinning
- Heuristic:TA Lib Ta lib python STOCHRSI Vs STOCH RSI
- Heuristic:Huggingface Trl Gradient Checkpointing Use Reentrant
- Heuristic:Romsto Speculative Decoding Ngram Order Selection
- Heuristic:Snorkel team Snorkel DataParallel Default Behavior
- Heuristic:Apache Shardingsphere DDL Refresher Superclass Fallback
- Heuristic:Mistralai Client python Resource Context Manager
- Heuristic:Microsoft Playwright Browser Specific Workarounds
Environments
- Environment:Elevenlabs Elevenlabs python Python Httpx
- Environment:Truera Trulens Snowflake Connector Environment
- Environment:ContextualAI HALOs CUDA 12 1 Training Environment
- Environment:ARISE Initiative Robomimic Robosuite Simulation Backend
- Environment:Pyro ppl Pyro Visualization Tools
- Environment:Getgauge Taiko Linux System Libraries
- Environment:OpenGVLab InternVL DeepSpeed
- Environment:Bigscience workshop Petals CUDA Server
- Environment:OpenBMB UltraFeedback OpenAI API Environment
- Environment:Deepspeedai DeepSpeed NVMe Environment