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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:Pola rs Polars Time Series Analysis
- Workflow:Apache Paimon Distributed Processing With Ray
- Workflow:AUTOMATIC1111 Stable diffusion webui Image postprocessing and upscaling
- Workflow:Alibaba ROLL RLVR Training Pipeline
- Workflow:Hiyouga LLaMA Factory LoRA SFT Finetuning
- Workflow:Apache Hudi Flink Schema Evolution
- Workflow:Microsoft Agent framework Agent With Tool Approval
- Workflow:Duckdb Duckdb Benchmark Execution
- Workflow:LaurentMazare Tch rs Transfer Learning
- Workflow:Huggingface Diffusers Checkpoint Conversion
Principles
- Principle:DataExpert io Data engineer handbook Spark Session Configuration
- Principle:AUTOMATIC1111 Stable diffusion webui Responsive Layout
- Principle:Triton inference server Server API Access Restriction
- Principle:Alibaba ROLL Distillation Validation
- Principle:Neuml Txtai Task Wrapping
- Principle:Apache Shardingsphere YAML Configuration Definition
- Principle:Pytorch Serve Accelerate Device Mapping
- Principle:OpenBMB UltraFeedback Principle Sampling
- Principle:Pola rs Polars Data Type Transformation
- Principle:Roboflow Rf detr Dataset Preparation
Implementations
- Implementation:Microsoft Agent framework Custom Aggregator Callback
- Implementation:Mlc ai Mlc llm Download Cache
- Implementation:Openai Openai agents python Previous Response Id Pattern
- Implementation:NVIDIA TransformerEngine Debug Fake Quant
- Implementation:Alibaba MNN Protobuf Map H
- Implementation:Vibrantlabsai Ragas LiteLLM
- Implementation:MaterializeInc Materialize ResolvedImage Build Push
- Implementation:TobikoData Sqlmesh Model PlanAction
- Implementation:Apache Beam DirectGraphVisitor
- Implementation:Openclaw Openclaw GetReplyFromConfig
Heuristics
- Heuristic:Anthropics Anthropic sdk python Streaming For Long Requests
- Heuristic:Gretelai Gretel synthetics GPU Memory Allow Growth
- Heuristic:Bigscience workshop Petals Batch Splitting Threshold
- Heuristic:Arize ai Phoenix Warning Deprecated HallucinationEvaluator
- Heuristic:Bigscience workshop Petals KV Cache Sizing For Attention Types
- Heuristic:Shiyu coder Kronos Instance Normalization Clipping
- Heuristic:OWASP Www project top 10 for large language model applications Vulnerability Entry Structure Guide
- Heuristic:LMCache LMCache CacheGen Quantization Strategy
- Heuristic:Zai org CogVideo Scheduler and Guidance Selection
- Heuristic:ARISE Initiative Robosuite XML Reset Method Tradeoff
Environments
- Environment:AUTOMATIC1111 Stable diffusion webui Python And PyTorch Runtime
- Environment:OpenBMB UltraFeedback OpenAI API Environment
- Environment:Infiniflow Ragflow Frontend Node Environment
- Environment:Guardrails ai Guardrails Docker Server Runtime
- Environment:Microsoft Playwright Platform Support Environment
- Environment:Facebookresearch Habitat lab CUDA GPU Training Environment
- Environment:Unslothai Unsloth CUDA BitsAndBytes
- Environment:Puppeteer Puppeteer Node 18 Runtime
- Environment:Openai Openai python Python 3 9 Plus
- Environment:Bentoml BentoML NVIDIA GPU Resource