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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:Danijar Dreamerv3 Single Process Training
- Workflow:Sgl project Sglang ModelOpt Quantization And Export
- Workflow:Datahub project Datahub Metadata Ingestion Pipeline
- Workflow:Apache Spark Release Process
- Workflow:Predibase Lorax OpenAI Chat Completion
- Workflow:SeldonIO Seldon core Production Monitoring Pipeline
- Workflow:Microsoft Onnxruntime Nodejs Inference
- Workflow:Langchain ai Langgraph Persistence and Memory Setup
- Workflow:Haotian liu LLaVA Benchmark Evaluation
- Workflow:Microsoft Agent framework Multi Agent Sequential Orchestration
Principles
- Principle:OWASP Www project top 10 for large language model applications Mitigation Gap Analysis
- Principle:Openclaw Openclaw Session Resolution
- Principle:Bentoml BentoML Distributed Deployment Configuration
- Principle:Mage ai Mage ai Destination State Checkpointing
- Principle:Risingwavelabs Risingwave Java Rust JNI Bridge
- Principle:Anthropics Anthropic sdk python Parsed Output Access
- Principle:Arize ai Phoenix Client Initialization
- Principle:Online ml River Incremental Clustering Interface
- Principle:Treeverse LakeFS Java SDK Data Models
- Principle:Kubeflow Kubeflow Issue Routing Configuration
Implementations
- Implementation:OpenGVLab InternVL MMBench VQA Inference
- Implementation:Explodinggradients Ragas DataCompyScore Metric
- Implementation:EvolvingLMMs Lab Lmms eval SciBench Utils
- Implementation:EvolvingLMMs Lab Lmms eval Import Utils
- Implementation:Lance format Lance Java OpenDatasetBuilder
- Implementation:Huggingface Datasets Dataset Select
- Implementation:ArroyoSystems Arroyo Globalize Modal
- Implementation:Mit han lab Llm awq Real quantize model weight
- Implementation:SeldonIO Seldon core Seldon Pipeline CRD Monitoring
- Implementation:Huggingface Datasets Dataset From Pandas
Heuristics
- Heuristic:Microsoft BIPIA OpenAI Rate Limit Retry
- Heuristic:NVIDIA NeMo Curator Deduplication Blocksize Tuning
- Heuristic:Apache Paimon File Sizing and Split Planning
- Heuristic:Explodinggradients Ragas Retry And Backoff Configuration
- Heuristic:Facebookresearch Habitat lab Force Single Threaded PyTorch
- Heuristic:CarperAI Trlx KL Coefficient Adaptation
- Heuristic:Puppeteer Puppeteer Navigation Race Condition Avoidance
- Heuristic:Mlfoundations Open flamingo KV Cache Classification Optimization
- Heuristic:Promptfoo Promptfoo WAL Mode Network Filesystem
- Heuristic:Huggingface Transformers Gradient Checkpointing Memory Tradeoff
Environments
- Environment:Huggingface Datasets Lance Dependencies
- Environment:Spotify Luigi Tornado Web Server
- Environment:Kubeflow Kubeflow Istio Certmanager Dex Environment
- Environment:Infiniflow Ragflow GPU CUDA Environment
- Environment:Vibrantlabsai Ragas Python 3 9 Core Environment
- Environment:Microsoft Playwright Node Runtime Environment
- Environment:Cypress io Cypress Linux Display Server
- Environment:Isaac sim IsaacGymEnvs Python CUDA Runtime
- Environment:Predibase Lorax Python Server Dependencies
- Environment:Microsoft Onnxruntime Nodejs Runtime Environment