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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:Elevenlabs Elevenlabs python Realtime TTS Streaming
- Workflow:Turboderp org Exllamav2 Text Generation
- Workflow:Mbzuai oryx Awesome LLM Post training Deep Paper Collection
- Workflow:Openai Openai agents python Human In The Loop Approval
- Workflow:Interpretml Interpret Model Explanation And Visualization
- Workflow:Puppeteer Puppeteer Page Screenshot Capture
- Workflow:Datahub project Datahub Java SDK Metadata Emission
- Workflow:OpenHands OpenHands Organization Onboarding
- Workflow:Testtimescaling Testtimescaling github io GitHub Pages Course Progression
- Workflow:MarketSquare Robotframework browser Plugin Development
Principles
- Principle:Zai org CogVideo SAT Inference Configuration
- Principle:Apache Flink File Enumeration and Splitting
- Principle:Explodinggradients Ragas Prompt Persistence
- Principle:Datahub project Datahub Emitter Instantiation
- Principle:Apache Spark Release Finalization
- Principle:Roboflow Rf detr Training Configuration
- Principle:LMCache LMCache Prefill Decode Configuration
- Principle:ARISE Initiative Robosuite Placement Sampling
- Principle:Webdriverio Webdriverio Protocol Command Architecture
- Principle:Turboderp org Exllamav2 Multi GPU Compatibility
Implementations
- Implementation:Mlc ai Mlc llm Gemma2 Model
- Implementation:Treeverse LakeFS S3 Path Convention
- Implementation:Speechbrain Speechbrain LibriSpeech LM Dataset
- Implementation:Explodinggradients Ragas Evaluate Function
- Implementation:Langgenius Dify Service Annotation
- Implementation:Datajuicer Data juicer NestedAggregator
- Implementation:Alibaba ROLL DPO Zh Demo Dataset
- Implementation:ContextualAI HALOs Alpaca Eval CLI
- Implementation:Datahub project Datahub MetadataChangeProposalWrapper Java
- Implementation:Speechbrain Speechbrain Prepare RescueSpeech Root
Heuristics
- Heuristic:Turboderp org Exllamav2 Attention Backend Selection
- Heuristic:Langchain ai Langchain Warning Deprecated Langchain Classic
- Heuristic:Tencent Ncnn Lightmode Memory Optimization
- Heuristic:Huggingface Diffusers Guidance Scale Defaults
- Heuristic:Allenai Open instruct BFloat16 Training
- Heuristic:Bigscience workshop Petals NF4 Quantization Default On CUDA
- Heuristic:Roboflow Rf detr Layer Wise LR Decay
- Heuristic:Diagram of thought Diagram of thought Typed Records For Auditability
- Heuristic:AnswerDotAI RAGatouille Index Rebuild Vs Update Decision
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Instance Norm for Multi GPU
Environments
- Environment:Deepspeedai DeepSpeed Multi Accelerator Environment
- Environment:NVIDIA DALI CUDA GPU Environment
- Environment:Langfuse Langfuse S3 Compatible Storage
- Environment:Kserve Kserve Istio Service Mesh
- Environment:Bitsandbytes foundation Bitsandbytes CUDA GPU Runtime
- Environment:Openclaw Openclaw Mintlify Documentation Platform
- Environment:Langfuse Langfuse Redis 7 Queue Cache
- Environment:Facebookresearch Habitat lab HITL Runtime Environment
- Environment:Huggingface Transformers PyTorch 24 CUDA
- Environment:Kserve Kserve Leader Worker Set