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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:Ray project Ray Build and Release Pipeline
- Workflow:Apache Kafka Release Candidate Staging
- Workflow:Ollama Ollama Model Pull And Run
- Workflow:Microsoft DeepSpeedExamples SuperOffload Finetuning
- Workflow:Huggingface Alignment handbook QLoRA Single GPU Finetuning
- Workflow:Apache Spark Standalone Cluster Deployment
- Workflow:Puppeteer Puppeteer PDF Generation
- Workflow:Pola rs Polars SQL Query Interface
- Workflow:Triton inference server Server Model Performance Tuning
- Workflow:Confident ai Deepeval Synthetic Dataset Generation
Principles
- Principle:SeldonIO Seldon core Multi Modal Pipeline Composition
- Principle:LaurentMazare Tch rs Operator Overloading
- Principle:Langfuse Langfuse Export Job Creation
- Principle:LaurentMazare Tch rs Batch Normalization
- Principle:Predibase Lorax Structured Response Parsing
- Principle:Sdv dev SDV Constraint Validation
- Principle:Ggml org Llama cpp LoRA Adapter Acquisition
- Principle:Datahub project Datahub Docker Prerequisites Validation
- Principle:SeldonIO Seldon core Monitoring Component Deployment
- Principle:Webdriverio Webdriverio Selector Optimization
Implementations
- Implementation:Facebookresearch Audiocraft DiffusionUnet
- Implementation:AUTOMATIC1111 Stable diffusion webui LearnRateScheduler
- Implementation:Vllm project Vllm Test Pipeline Config
- Implementation:Cleanlab Cleanlab Regression CleanLearning
- Implementation:Bentoml BentoML Nerdctl Backend
- Implementation:Microsoft Autogen Studio Tool Fields
- Implementation:Infiniflow Ragflow Docker Env Configuration
- Implementation:Ggml org Llama cpp Q8dot Benchmark
- Implementation:DevExpress Testcafe AssertionExecutor
- Implementation:Elevenlabs Elevenlabs python Audio Source Pattern
Heuristics
- Heuristic:Puppeteer Puppeteer Headless Linux Requirements
- Heuristic:AUTOMATIC1111 Stable diffusion webui VRAM Management Strategies
- Heuristic:Scikit learn Scikit learn Data Leakage Prevention
- Heuristic:Treeverse LakeFS Batch Delay Tuning
- Heuristic:Microsoft LoRA LoRA Init Strategy
- Heuristic:Eric mitchell Direct preference optimization Activation Checkpointing Memory
- Heuristic:Kubeflow Pipelines Cache Staleness In Recursive Pipelines
- Heuristic:Bentoml BentoML Adaptive Batching Tuning
- Heuristic:ARISE Initiative Robosuite XML Reset Method Tradeoff
- Heuristic:Iterative Dvc Path Performance Optimization
Environments
- Environment:Openclaw Openclaw Mintlify Documentation Platform
- Environment:Huggingface Alignment handbook BitsAndBytes CUDA
- Environment:Apache Hudi Docker Demo Environment
- Environment:Shiyu coder Kronos Comet ML Logging
- Environment:Pola rs Polars Rust Build Environment
- Environment:Triton inference server Server TRT LLM Deployment
- Environment:Googleapis Python genai Vertex AI Service Account
- Environment:Testtimescaling Testtimescaling github io GitHub Actions Runner
- Environment:Huggingface Trl Python Core Dependencies
- Environment:MarketSquare Robotframework browser Node Runtime