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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:Dagster io Dagster Modal Serverless Pipeline
- Workflow:NVIDIA NeMo Curator Fuzzy Deduplication
- Workflow:AnswerDotAI RAGatouille ColBERT Training
- Workflow:Evidentlyai Evidently LLM Evaluation Monitoring
- Workflow:Microsoft Playwright AI agent driven testing
- Workflow:Openai Openai python Audio Processing
- Workflow:Pytorch Serve Model Deployment
- Workflow:Astronomer Astronomer cosmos Local dbt DAG rendering
- Workflow:Deepspeedai DeepSpeed Sequence Parallel Long Context Training
- Workflow:Microsoft BIPIA White Box Defense Finetuning
Principles
- Principle:Ollama Ollama Structured Output
- Principle:Openclaw Openclaw Session Resolution
- Principle:Huggingface Trl GRPO Argument Configuration
- Principle:Haosulab ManiSkill Registration Pattern
- Principle:Ggml org Ggml BLAS Matrix Multiplication
- Principle:Apache Flink Source Connector Framework
- Principle:Nautechsystems Nautilus trader Catalog Data Querying
- Principle:FMInference FlexLLMGen Distributed Job Runner
- Principle:Online ml River Non Stationary Stream Loading
- Principle:Infiniflow Ragflow Tag Feature Management
Implementations
- Implementation:AnswerDotAI RAGatouille Export To Vespa ONNX
- Implementation:Apache Kafka Kafka Run Class Classpath
- Implementation:Pytorch Serve Management API
- Implementation:Run llama Llama index MockLLM
- Implementation:InternLM Lmdeploy GemmUniversalSm90
- Implementation:NVIDIA NeMo Curator Audio Convert Stage
- Implementation:Open compass VLMEvalKit MEGABench Constrained Generation
- Implementation:Tensorflow Tfjs Tensorflowjs Pip Install
- Implementation:OpenBMB UltraFeedback Score Correction Pipeline
- Implementation:Openai Openai python Compacted Response
Heuristics
- Heuristic:Unslothai Unsloth Padding Free Packing
- Heuristic:Gretelai Gretel synthetics Gumbel Softmax NaN Retry
- Heuristic:Apache Druid Auto Granularity Selection
- Heuristic:ContextualAI HALOs FSDP Sampling Workaround
- Heuristic:Wandb Weave Payload Size Limits
- Heuristic:Arize ai Phoenix Notebook Event Loop Patching
- Heuristic:Iamhankai Forest of Thought Tree Iteration Scaling
- Heuristic:Dotnet Machinelearning AutoML SMAC Dimension Limit
- Heuristic:CrewAIInc CrewAI Rate Limiting Strategy
- Heuristic:Risingwavelabs Risingwave LSM Compaction Tuning
Environments
- Environment:Anthropics Anthropic sdk python Python SDK Core Environment
- Environment:Heibaiying BigData Notes HBase Environment
- Environment:Microsoft DeepSpeedExamples CIFAR10 Training Environment
- Environment:Sgl project Sglang Kubernetes
- Environment:Microsoft Playwright Platform Support Environment
- Environment:SeldonIO Seldon core GPU Inference Environment
- Environment:Explodinggradients Ragas Optional Metrics Environment
- Environment:Shiyu coder Kronos HuggingFace Hub Access
- Environment:DataTalksClub Data engineering zoomcamp PySpark Batch Environment
- Environment:LaurentMazare Tch rs Libtorch Build Environment