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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:Sgl project Sglang Frontend Language Multi Turn Chat
- Workflow:AUTOMATIC1111 Stable diffusion webui Image postprocessing and upscaling
- Workflow:Cleanlab Cleanlab Multiannotator Consensus
- Workflow:Onnx Onnx Model Composition
- Workflow:Webdriverio Webdriverio Standalone Browser Automation
- Workflow:Datahub project Datahub Java SDK V2 Entity Management
- Workflow:Risingwavelabs Risingwave Streaming ETL Pipeline
- Workflow:Sktime Pytorch forecasting TFT Hyperparameter Optimization
- Workflow:LMCache LMCache Disaggregated Prefill
- Workflow:Fede1024 Rust rdkafka At Least Once Processing
Principles
- Principle:Nightwatchjs Nightwatch Extension Usage In Tests
- Principle:Nautechsystems Nautilus trader Catalog Data Querying
- Principle:Langchain ai Langchain LLM Caching
- Principle:Deepseek ai Janus VQ VAE Decoding
- Principle:Deepset ai Haystack Pipeline Orchestration
- Principle:Teamcapybara Capybara Feature Spec DSL
- Principle:Microsoft Agent framework Approval Request Presentation
- Principle:Google deepmind Dm control Per Player Observation Design
- Principle:OpenGVLab InternVL CLIP Vision Text Encoding
- Principle:Googleapis Python genai Training Dataset Preparation
Implementations
- Implementation:Arize ai Phoenix Legacy Default Templates
- Implementation:Getgauge Taiko Intercept Mock
- Implementation:Pyro ppl Pyro InferConfigMessenger
- Implementation:Eventual Inc Daft DataFrame Write Parquet
- Implementation:Google deepmind Mujoco Filament Builtins
- Implementation:Langchain ai Langgraph Public Constants
- Implementation:Turboderp org Exllamav2 TPContext
- Implementation:Kserve Kserve TorchServe gRPC Client
- Implementation:SeleniumHQ Selenium Closure Timer
- Implementation:Avhz RustQuant LinearRegression
Heuristics
- Heuristic:Apache Beam Watermark Update Throttling
- Heuristic:Danijar Dreamerv3 Replay Context Carry Init
- Heuristic:OWASP Www project top 10 for large language model applications Deliberately Insecure Code Isolation
- Heuristic:Cypress io Cypress Timeout Tuning
- Heuristic:OpenGVLab InternVL Packed Training Buffer Management
- Heuristic:Spotify Luigi Atomic File Writes
- Heuristic:Vibrantlabsai Ragas Warning Deprecated V1 Metrics
- Heuristic:Nightwatchjs Nightwatch Warning Deprecated API Members
- Heuristic:Helicone Helicone Anthropic Cache Double Count Prevention
- Heuristic:Zai org CogVideo Training Hyperparameter Defaults
Environments
- Environment:Vllm project Vllm Benchmarks
- Environment:Googleapis Python genai Python 3 10 SDK Runtime
- Environment:Risingwavelabs Risingwave Rust Build Environment
- Environment:Huggingface Alignment handbook PyTorch CUDA
- Environment:DistrictDataLabs Yellowbrick Python Scikit Learn Environment
- Environment:Microsoft Onnxruntime Windows Build Environment
- Environment:OpenHands OpenHands Third Party Runtime Credentials
- Environment:PacktPublishing LLM Engineers Handbook VLLM Evaluation Environment
- Environment:Hiyouga LLaMA Factory FP8 Training Environment
- Environment:Spotify Luigi Apache Spark