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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:Openai Openai node Fine Tuning
- Workflow:PacktPublishing LLM Engineers Handbook RAG Inference
- Workflow:Haotian liu LLaVA Single Image Inference
- Workflow:Mistralai Client python Function Calling
- Workflow:Apache Dolphinscheduler RPC Service Communication
- Workflow:Langgenius Dify Docker Deployment
- Workflow:Haosulab ManiSkill Custom Task Development
- Workflow:HKUDS AI Trader Data Pipeline
- Workflow:Triton inference server Server Ensemble Model Pipeline
- Workflow:Allenai Open instruct Tulu3 Full Post Training
Principles
- Principle:ARISE Initiative Robomimic Results Collection
- Principle:Vllm project Vllm Sampling Configuration
- Principle:Deepspeedai DeepSpeed CPU SIMD Optimizers
- Principle:ClickHouse ClickHouse Data Lake Testing
- Principle:Bigscience workshop Petals Distributed Autograd
- Principle:Haifengl Smile Spatial Index Construction
- Principle:Tencent Ncnn Vulkan Pipeline Optimization
- Principle:Kubeflow Pipelines Pipeline Compilation
- Principle:Ggml org Llama cpp Base64 Encoding
- Principle:Promptfoo Promptfoo Data Migration
Implementations
- Implementation:Mage ai Mage ai Pipedrive Tap
- Implementation:Openai Openai python Eval Run Succeeded Webhook
- Implementation:Liu00222 Open Prompt Injection split sentence
- Implementation:Teamcapybara Capybara Queries BaseQuery
- Implementation:Vllm project Vllm AIter Ops
- Implementation:Mage ai Mage ai Stripe Customers Schema
- Implementation:Langfuse Langfuse CreatePrompt
- Implementation:Googleapis Python genai Client Init
- Implementation:Ray project Ray ParallelActorCallGenerator
- Implementation:Interpretml Interpret Synthetic Dataset Generation
Heuristics
- Heuristic:Alibaba MNN Warning Deprecated Winograd Codegen
- Heuristic:Pyro ppl Pyro Gradient Variance Reduction
- Heuristic:Zai org CogVideo BF16 FP16 Precision Selection
- Heuristic:Avhz RustQuant Interpolation Method Selection
- Heuristic:Mlc ai Web llm Service Worker Keep Alive
- Heuristic:ContextualAI HALOs Humanline Clamping
- Heuristic:Deepseek ai Janus Bfloat16 Dtype Selection
- Heuristic:Microsoft Semantic kernel Experimental Feature Opt In
- Heuristic:Nightwatchjs Nightwatch Node 17 DNS IPv4 Workaround
- Heuristic:Openai Openai node Stream Usage Interruption
Environments
- Environment:DataTalksClub Data engineering zoomcamp Kafka Confluent Environment
- Environment:Allenai Open instruct Ray Distributed
- Environment:Apache Dolphinscheduler Java Runtime
- Environment:Confident ai Deepeval Python 3 9 Runtime
- Environment:Explodinggradients Ragas LLM Provider Environment
- Environment:Apache Dolphinscheduler Database Backend
- Environment:Avdvg InjectGuard CUDA GPU
- Environment:Mistralai Client python Agents Environment
- Environment:Intel Ipex llm NPU Cpp Environment
- Environment:LMCache LMCache Python Runtime