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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:ContextualAI HALOs Reward Model Training
- Workflow:Apache Flink File Sink Pipeline
- Workflow:Astronomer Astronomer cosmos Kubernetes dbt execution
- Workflow:NVIDIA NeMo Curator Fuzzy Deduplication
- Workflow:Dagster io Dagster Bluesky Analytics
- Workflow:Unstructured IO Unstructured Document Partitioning
- Workflow:Tensorflow Tfjs Sequential Model Training
- Workflow:Intel Ipex llm DPO Finetuning
- Workflow:Deepseek ai Janus Rectified Flow Image Generation
- Workflow:Rapidsai Cuml Time Series Forecasting
Principles
- Principle:Ggml org Llama cpp Multimodal Processing
- Principle:Deepseek ai Janus Model and Processor Loading
- Principle:Kubeflow Pipelines Pipeline Compilation
- Principle:Sktime Pytorch forecasting Dense Encoder Decoder
- Principle:Langchain ai Langgraph Release Automation
- Principle:Google deepmind Dm control Team Configuration
- Principle:Facebookresearch Audiocraft MusicGen Training Execution
- Principle:Microsoft Autogen Component Serialization
- Principle:PacktPublishing LLM Engineers Handbook Vector Storage
- Principle:Vllm project Vllm Output Schema Definition
Implementations
- Implementation:Lance format Lance DecoderBench
- Implementation:Openai Openai python Response Input Item
- Implementation:Eric mitchell Direct preference optimization Get Dataset
- Implementation:InternLM Lmdeploy GetEnv
- Implementation:Teamcapybara Capybara Driver Node Interface
- Implementation:Online ml River Metrics FBeta
- Implementation:Datajuicer Data juicer ImageAspectRatioFilter
- Implementation:Apache Airflow Verify Release Calendar
- Implementation:EvolvingLMMs Lab Lmms eval Sample MCP Server
- Implementation:Vespa engine Vespa SimpleDetector Detect
Heuristics
- Heuristic:Facebookresearch Habitat lab Mini Batch Environment Divisibility
- Heuristic:Togethercomputer Together python Fine Tuning Parameter Validation
- Heuristic:OWASP Www project top 10 for large language model applications Deliberately Insecure Code Isolation
- Heuristic:MaterializeInc Materialize CI Agent Prioritization
- Heuristic:Lm sys FastChat Flash Attention GPU Requirements
- Heuristic:Openclaw Openclaw WebSocket Reconnection And Session Cleanup
- Heuristic:Vespa engine Vespa Log Level Inheritance Polling
- Heuristic:Openai Evals Thread Tuning
- Heuristic:LMCache LMCache Prefix Based Retrieval Pattern
- Heuristic:TobikoData Sqlmesh Snapshot TTL Defaults
Environments
- Environment:Google deepmind Mujoco Python Bindings Environment
- Environment:Nightwatchjs Nightwatch Android Mobile Testing
- Environment:VainF Torch Pruning YOLO Pruning Dependencies
- Environment:Huggingface Optimum Python Core Dependencies
- Environment:Online ml River Build Toolchain
- Environment:Tencent Ncnn Vulkan Environment
- Environment:Alibaba ROLL SGLang Inference Environment
- Environment:Cohere ai Cohere python Python SDK Runtime
- Environment:Huggingface Datasets Image Dependencies
- Environment:Pytorch Serve vLLM Engine Environment