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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:Googleapis Python genai Multi Turn Chat
- Workflow:SeldonIO Seldon core Production Monitoring Pipeline
- Workflow:Shiyu coder Kronos Single Series Prediction
- Workflow:Huggingface Open r1 GRPO Reasoning Training
- Workflow:Allenai Open instruct SFT Finetuning
- Workflow:Mistralai Client python Streaming Chat Completion
- Workflow:Sgl project Sglang ModelOpt Quantization And Export
- Workflow:Mlc ai Web llm Chrome Extension Integration
- Workflow:FlagOpen FlagEmbedding Embedder Inference
- Workflow:Deepset ai Haystack RAG Pipeline
Principles
- Principle:Apache Shardingsphere Configuration Object Conversion
- Principle:Mistralai Client python Streaming Chat Completion
- Principle:Hpcaitech ColossalAI GRPO Reward Configuration
- Principle:Bitsandbytes foundation Bitsandbytes Int8 Vectorwise Quantization
- Principle:Langchain ai Langgraph Runnable Wrapping
- Principle:Apache Kafka Coordinator Metadata Propagation
- Principle:HKUDS AI Trader Portfolio Valuation
- Principle:Diagram of thought Diagram of thought Final Synthesis
- Principle:Bentoml BentoML Service Dependency Injection
- Principle:Apache Airflow Secret Redaction
Implementations
- Implementation:Microsoft LoRA Run MLM
- Implementation:Google deepmind Mujoco WASM Demo App
- Implementation:LMCache LMCache SageMaker HyperPod Adapter
- Implementation:FMInference FlexLLMGen Prompt Construction Pattern
- Implementation:AUTOMATIC1111 Stable diffusion webui StableDiffusionProcessingTxt2Img
- Implementation:Snorkel team Snorkel SlicingFunction Init
- Implementation:OpenGVLab InternVL Build Transform
- Implementation:Ggml org Llama cpp Ngram Cache Header
- Implementation:Mlc ai Web llm Chat Completion Tool
- Implementation:NVIDIA TransformerEngine Padding C API
Heuristics
- Heuristic:Langgenius Dify Celery Queue Separation
- Heuristic:Intel Ipex llm Use Cache Training Vs Inference
- Heuristic:Apache Shardingsphere Shadow Routing Hint First Fallback
- Heuristic:Heibaiying BigData Notes Spark Streaming Local Threads Tip
- Heuristic:Helicone Helicone Provider URL Regex Priority
- Heuristic:Wandb Weave Retry And Error Handling
- Heuristic:Turboderp org Exllamav2 Attention Backend Selection
- Heuristic:Googleapis Python genai AFC Max Remote Calls Limit
- Heuristic:InternLM Lmdeploy KV Cache Memory Tuning
- Heuristic:Avdvg InjectGuard Module Level Initialization
Environments
- Environment:Kserve Kserve VLLM Runtime
- Environment:Lance format Lance SIMD And Platform Requirements
- Environment:Evidentlyai Evidently Spark Engine Environment
- Environment:EvolvingLMMs Lab Lmms eval Server Mode Environment
- Environment:Triton inference server Server GPU CUDA Runtime
- Environment:OpenHands OpenHands Third Party Runtime Credentials
- Environment:Alibaba ROLL CUDA GPU Environment
- Environment:NVIDIA DALI PyTorch Environment
- Environment:AnswerDotAI RAGatouille Python ColBERT Dependencies
- Environment:Huggingface Datasets Image Dependencies