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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:Avhz RustQuant Monte Carlo Option Pricing
- Workflow:Neuml Txtai Workflow Orchestration
- Workflow:MaterializeInc Materialize dbt Integration
- Workflow:Lance format Lance Dataset Lifecycle
- Workflow:Kubeflow Pipelines Standalone Deployment
- Workflow:Spotify Luigi Central Scheduler Deployment
- Workflow:Vllm project Vllm Vision Language Inference
- Workflow:Mistralai Client python Streaming Chat Completion
- Workflow:Spcl Graph of thoughts Custom GoT Use Case Integration
- Workflow:Volcengine Verl Data Preprocessing For RL
Principles
- Principle:Apache Hudi End To End Schema Validation
- Principle:Scikit learn Scikit learn Classification Prediction
- Principle:Deepseek ai Janus Prompt Formatting for Flow Generation
- Principle:NVIDIA TransformerEngine Fused LayerNorm MLP
- Principle:CARLA simulator Carla PID Vehicle Control
- Principle:Deepspeedai DeepSpeed AutoTP Configuration
- Principle:FlowiseAI Flowise Chat Widget Embedding
- Principle:Turboderp org Exllamav2 Multimodal Prompt Encoding
- Principle:OpenRLHF OpenRLHF DPO Loss Computation
- Principle:Neuml Txtai Model Fine Tuning
Implementations
- Implementation:Unstructured IO Unstructured Memray Partition
- Implementation:FMInference FlexLLMGen DeepSpeed Runtime Config
- Implementation:Microsoft Playwright Server Browser
- Implementation:Microsoft Playwright Vue CT Mount
- Implementation:Alibaba MNN FlatBuffers IDL Gen Text
- Implementation:Vllm project Vllm LLM Init Structured
- Implementation:Nightwatchjs Nightwatch Component Plugin Install
- Implementation:Arize ai Phoenix Span Processor Exporter
- Implementation:Alibaba MNN OpenCL CL Ext Intel Header
- Implementation:Facebookresearch Habitat lab Timing
Heuristics
- Heuristic:Apache Hudi Compaction Scheduling Safety
- Heuristic:Mlflow Mlflow Prompt Cache Tuning
- Heuristic:Huggingface Open r1 vLLM GPU Allocation
- Heuristic:Dotnet Machinelearning Numerical Stability Guards
- Heuristic:Huggingface Alignment handbook Sequence Packing Strategy
- Heuristic:Kubeflow Kubeflow Stale Issue Lifecycle Management
- Heuristic:Explodinggradients Ragas Embedding Batch Size Tuning
- Heuristic:Speechbrain Speechbrain Separation Loss Filtering
- Heuristic:NVIDIA TransformerEngine Attention Backend Selection
- Heuristic:HKUDS AI Trader A Share Lot Size Rule
Environments
- Environment:Explodinggradients Ragas Optional Metrics Environment
- Environment:Astronomer Astronomer cosmos Kubernetes Provider
- Environment:Iamhankai Forest of Thought OpenAI API Credentials
- Environment:Spcl Graph of thoughts Python 3 8 Runtime
- Environment:Pola rs Polars Python Runtime Environment
- Environment:Huggingface Alignment handbook Evaluation Tools
- Environment:Google deepmind Dm control OSMesa Software Rendering
- Environment:Volcengine Verl CUDA GPU Environment
- Environment:Kserve Kserve SRIOV RDMA Network
- Environment:Infiniflow Ragflow Python Runtime