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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 |
Explore Pages
Workflows
- Workflow:Langgenius Dify Workflow Builder and Execution
- Workflow:Apache Shardingsphere Metadata DDL Refresh
- Workflow:Tencent Ncnn Image Classification Inference
- Workflow:Googleapis Python genai Multi Turn Chat
- Workflow:Bentoml BentoML Model Store Management
- Workflow:Haifengl Smile Model Serving Pipeline
- Workflow:Spcl Graph of thoughts GoT Sorting Pipeline
- Workflow:Haotian liu LLaVA Benchmark Evaluation
- Workflow:Ucbepic Docetl Python API Pipeline
- Workflow:PrefectHQ Prefect Database Cleanup With Approval
Principles
- Principle:Teamcapybara Capybara Driver Selection Configuration
- Principle:Kornia Kornia ONNX Dependency Setup
- Principle:Predibase Lorax Adapter Inventory Configuration
- Principle:OpenRLHF OpenRLHF Causal LM Actor Loading
- Principle:Eventual Inc Daft Iceberg Writing
- Principle:Fastai Fastbook Model Export
- Principle:HKUDS AI Trader MCP Service Orchestration
- Principle:Kubeflow Pipelines Kubernetes Cluster Preparation
- Principle:Mlflow Mlflow Model Registration
- Principle:Sail sg LongSpec Metrics Collection
Implementations
- Implementation:ARISE Initiative Robosuite Observables
- Implementation:Alibaba MNN MNNConvert CLI
- Implementation:Huggingface Datatrove TokenStats
- Implementation:Openai Openai python Response Model
- Implementation:Bentoml BentoML OpenAPI Generation
- Implementation:Kubeflow Pipelines PipelineVersion CRD
- Implementation:Mage ai Mage ai Google Ads Discover
- Implementation:SeldonIO Seldon core Sklearn Pipeline Train And Serialize
- Implementation:MaterializeInc Materialize Bump Version Tool
- Implementation:NVIDIA DALI CMake Plugin Build
Heuristics
- Heuristic:Zai org CogVideo Training Hyperparameter Defaults
- Heuristic:Openai Evals Event Batching Configuration
- Heuristic:Huggingface Peft DoRA Inference Caching
- Heuristic:Deepset ai Haystack Pipeline Max Runs Safety Limit
- Heuristic:Anthropics Anthropic sdk python Model Deprecation Awareness
- Heuristic:Tencent Ncnn FP16 Precision Selection
- Heuristic:Langfuse Langfuse Eval Loop Prevention
- Heuristic:Promptfoo Promptfoo Adaptive Concurrency Tuning
- Heuristic:ContextualAI HALOs LoRA Merge At Save
- Heuristic:Vespa engine Vespa Maven Parallel Build Optimization
Environments
- Environment:Truera Trulens LangChain LangGraph Environment
- Environment:Mbzuai oryx Awesome LLM Post training Python Matplotlib
- Environment:Princeton nlp Tree of thought llm Python OpenAI
- Environment:Sgl project Sglang Grafana
- Environment:Vibrantlabsai Ragas Optional NLP Metrics Environment
- Environment:Marker Inc Korea AutoRAG Python 3 10 Runtime
- Environment:Langgenius Dify Credentials And Env Vars
- Environment:Huggingface Peft Optional Quantization Backends
- Environment:Apache Dolphinscheduler Java Runtime
- Environment:Microsoft Onnxruntime Sklearn Conversion Environment