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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:Facebookresearch Audiocraft MusicGen Text To Music Inference
- Workflow:Alibaba MNN Python Model Inference
- Workflow:Mage ai Mage ai SQL Database Source Extraction
- Workflow:Haosulab ManiSkill RL Training with PPO
- Workflow:NVIDIA DALI Image Preprocessing Pipeline
- Workflow:Kubeflow Pipelines XGBoost Training Pipeline
- Workflow:NVIDIA TransformerEngine Accelerate HF Llama With TE
- Workflow:Alibaba MNN Model Compression
- Workflow:Puppeteer Puppeteer PDF Generation
- Workflow:SeleniumHQ Selenium Contributor Development Workflow
Principles
- Principle:Intel Ipex llm LoRA Model Loading bf16
- Principle:AUTOMATIC1111 Stable diffusion webui Progress Reporting
- Principle:Openai Openai python Realtime Error Handling
- Principle:Mlfoundations Open flamingo Pretrained Weight Loading
- Principle:ARISE Initiative Robosuite Mobile Base Control Abstraction
- Principle:MarketSquare Robotframework browser Development Environment Setup
- Principle:Deepspeedai DeepSpeed RLHF Experience Generation
- Principle:Evidentlyai Evidently Data Schema Definition
- Principle:Sdv dev SDV Metadata Loading
- Principle:Huggingface Datasets Schema Casting
Implementations
- Implementation:Langchain ai Langgraph Public Constants
- Implementation:Microsoft Onnxruntime CPU LSTM Forward
- Implementation:Kserve Kserve InferenceGraph Full CRD
- Implementation:Lance format Lance Tags CRUD
- Implementation:Cleanlab Cleanlab Segmentation Find Label Issues
- Implementation:Lance format Lance StructEncoding
- Implementation:Openai Openai python Response Stream Event
- Implementation:Unstructured IO Unstructured Golden File Fixtures Collaboration
- Implementation:Triton inference server Server GenEnsembleModelUtils
- Implementation:FlowiseAI Flowise NvidiaNIMDialog
Heuristics
- Heuristic:Microsoft BIPIA Torch Compile Platform Guard
- Heuristic:Facebookresearch Audiocraft FSDP Distributed Training Tips
- Heuristic:Deepspeedai DeepSpeed ZeRO Pipeline Incompatibility
- Heuristic:Google research Deduplicate text datasets HACKSIZE Overlap Buffer
- Heuristic:Unstructured IO Unstructured Golden File Diff
- Heuristic:Fede1024 Rust rdkafka Partitioner Must Not Block
- Heuristic:Duckdb Duckdb PR Submission Strategy
- Heuristic:Pytorch Serve Batch Size Tuning
- Heuristic:Sdv dev SDV Gaussian KDE Incompatibility
- Heuristic:Liu00222 Open Prompt Injection Attack Effectiveness Hierarchy
Environments
- Environment:FlowiseAI Flowise Database Environment
- Environment:Kornia Kornia ONNX Runtime Environment
- Environment:Isaac sim IsaacGymEnvs Pip Dependencies
- Environment:Sgl project Sglang Triton
- Environment:FMInference FlexLLMGen HuggingFace Access
- Environment:Cleanlab Cleanlab Python Core Environment
- Environment:Neuml Txtai Python Core Environment
- Environment:Bitsandbytes foundation Bitsandbytes XPU SYCL Runtime
- Environment:Heibaiying BigData Notes Spark 2 4 Environment
- Environment:Guardrails ai Guardrails Docker Server Runtime