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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:MaterializeInc Materialize dbt Integration
- Workflow:Google research Deduplicate text datasets Single file deduplication
- Workflow:Avdvg InjectGuard Vector Similarity Detection Pipeline
- Workflow:Truera Trulens RAG Evaluation With LangChain
- Workflow:Risingwavelabs Risingwave Sink Connector Pipeline
- Workflow:Datajuicer Data juicer Custom Operator Development
- Workflow:Kubeflow Pipelines Pipeline Control Flow
- Workflow:Fastai Fastbook Image Classification
- Workflow:Puppeteer Puppeteer Cross Browser Automation
- Workflow:Mlc ai Web llm Function Calling
Principles
- Principle:DistrictDataLabs Yellowbrick Bestfit Regression Overlay
- Principle:Huggingface Transformers Quantization Verification
- Principle:Ollama Ollama Base Model Resolution
- Principle:Haifengl Smile Model Serialization
- Principle:ARISE Initiative Robomimic Rollout Execution Eval
- Principle:Apache Druid Source Connection
- Principle:Webdriverio Webdriverio Test Context Tracking
- Principle:Apache Paimon Target Table Preparation
- Principle:Online ml River DBSTREAM Clustering
- Principle:Pytorch Serve Inference Handler Development
Implementations
- Implementation:EvolvingLMMs Lab Lmms eval Charades STA Eval TVG
- Implementation:Google deepmind Mujoco CI Build Steps
- Implementation:Mlflow Mlflow Sidebars
- Implementation:Run llama Llama index MultiModalLLM
- Implementation:Vespa engine Vespa Predicate Search ABI Spec
- Implementation:Lance format Lance Java SQBuildParams
- Implementation:Sgl project Sglang Health And Metrics Endpoints
- Implementation:Apache Paimon TableUpdateByRowId
- Implementation:NVIDIA NeMo Aligner Build SFT Dataset
- Implementation:Ucbepic Docetl PrettyJSON
Heuristics
- Heuristic:Facebookresearch Audiocraft Generation Parameter Defaults
- Heuristic:Deepseek ai Janus Image Generation Prompt Tips
- Heuristic:Mlfoundations Open flamingo Gradient Clipping Max Norm
- Heuristic:OpenGVLab InternVL Multi GPU ViT Device Mapping
- Heuristic:Duckdb Duckdb Sanitizer Configuration
- Heuristic:OpenBMB UltraFeedback Principle Distribution Tuning
- Heuristic:Tensorflow Tfjs WebGL Shader Warmup
- Heuristic:Apache Kafka JVM GC Tuning Defaults
- Heuristic:Sktime Pytorch forecasting Encoder Decoder Length Limits
- Heuristic:Arize ai Phoenix Environment Variable Precedence
Environments
- Environment:PacktPublishing LLM Engineers Handbook API Credentials
- Environment:Pytorch Serve vLLM Engine Environment
- Environment:Cleanlab Cleanlab Python Core Environment
- Environment:Alibaba MNN CPU Build Environment
- Environment:Alibaba ROLL Megatron Training Environment
- Environment:FlowiseAI Flowise Database Environment
- Environment:Spotify Luigi PostgreSQL Server
- Environment:Alibaba MNN ARM Mobile Environment
- Environment:Openclaw Openclaw Mintlify Documentation Platform
- Environment:Volcengine Verl Ray Distributed Environment