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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:Volcengine Verl Data Preprocessing For RL
- Workflow:Lucidrains X transformers Autoregressive Language Modeling
- Workflow:Roboflow Rf detr Object Detection Inference
- Workflow:Mlfoundations Open flamingo Few Shot Evaluation
- Workflow:Tencent Ncnn Post Training Quantization
- Workflow:Pytorch Serve Model Deployment
- Workflow:ARISE Initiative Robosuite Teleoperation
- Workflow:Spcl Graph of thoughts GoT Sorting Pipeline
- Workflow:Rapidsai Cuml Time Series Forecasting
- Workflow:Spcl Graph of thoughts GoT Keyword Counting Pipeline
Principles
- Principle:Webdriverio Webdriverio Test Result Reporting
- Principle:Getgauge Taiko Type Safety
- Principle:Apache Paimon Format Table
- Principle:Mit han lab Llm awq Quantized Linear Module
- Principle:Ucbepic Docetl Optimized Pipeline Review
- Principle:ARISE Initiative Robomimic Checkpointing and Model Saving
- Principle:Apache Flink Enriched Row Composition
- Principle:Langgenius Dify Node Composition
- Principle:Dagster io Dagster Dbt Asset Translation
- Principle:Kubeflow Kubeflow Pull Request Submission
Implementations
- Implementation:Alibaba MNN OpenCL CL Platform Header
- Implementation:Duckdb Duckdb Generate Functions
- Implementation:Microsoft Onnxruntime CrossEntropy Declarations
- Implementation:Online ml River Datasets SMTP
- Implementation:Nautechsystems Nautilus trader ParquetDataCatalog Init
- Implementation:Spotify Luigi MongoTarget
- Implementation:Spotify Luigi Task Lifecycle
- Implementation:Puppeteer Puppeteer Cdp Tracing
- Implementation:Bigscience workshop Petals Petals Installation
- Implementation:Datahub project Datahub SemanticVersion
Heuristics
- Heuristic:Explodinggradients Ragas Retry And Backoff Configuration
- Heuristic:Groq Groq python Error Handling Hierarchy
- Heuristic:Nautechsystems Nautilus trader Order Rate Limiting Configuration
- Heuristic:ARISE Initiative Robomimic Checkpoint Selection Strategy
- Heuristic:Pyro ppl Pyro Enumeration Plate Nesting
- Heuristic:Google research Deduplicate text datasets Ulimit File Descriptors For Merge
- Heuristic:Datahub project Datahub Docker Memory Preflight
- Heuristic:Haotian liu LLaVA Tokenizer Version Offset Correction
- Heuristic:Astronomer Astronomer cosmos Memory Optimised Imports
- Heuristic:Langchain ai Langchain Retry Scope Best Practice
Environments
- Environment:Truera Trulens LangChain LangGraph Environment
- Environment:CARLA simulator Carla Simulation Runtime
- Environment:ArroyoSystems Arroyo Python UDF Runtime
- Environment:Roboflow Rf detr Python GPU Environment
- Environment:Apache Beam Portable Runner Environment
- Environment:Dagster io Dagster Python 3 10 Runtime
- Environment:Vllm project Vllm CUDA GPU Runtime
- Environment:Pola rs Polars Python Runtime Environment
- Environment:Lm sys FastChat LoRA QLoRA Training Environment
- Environment:ARISE Initiative Robomimic HDF5 Data Dependencies