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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:Sdv dev SDV Data quality evaluation
- Workflow:Unstructured IO Unstructured Chunking And Embedding
- Workflow:NVIDIA NeMo Curator Fuzzy Deduplication
- Workflow:Dagster io Dagster Dbt Integration
- Workflow:Langfuse Langfuse Batch export pipeline
- Workflow:Obss Sahi COCO Dataset Slicing
- Workflow:LLMBook zh LLMBook zh github io LLM Pretraining
- Workflow:Alibaba ROLL Supervised Finetuning Pipeline
- Workflow:Vibrantlabsai Ragas Experiment Driven Development
- Workflow:Huggingface Datasets Hub Publishing
Principles
- Principle:Kubeflow Pipelines Deployment Health Verification
- Principle:Princeton nlp SimPO Model Saving and Evaluation
- Principle:Tencent Ncnn Non Maximum Suppression
- Principle:EvolvingLMMs Lab Lmms eval Regression Testing Principle
- Principle:Facebookresearch Habitat lab HRL Evaluation
- Principle:Mlc ai Web llm Package Build Pipeline
- Principle:Triton inference server Server Dynamic Batching Testing
- Principle:Arize ai Phoenix Client Initialization
- Principle:ArroyoSystems Arroyo UDF Runtime Execution
- Principle:Treeverse LakeFS S3 Data Writing
Implementations
- Implementation:Open compass VLMEvalKit ImageCaptionDataset
- Implementation:Promptfoo Promptfoo Google Sheets Integration
- Implementation:FlowiseAI Flowise PasteJSONDialog
- Implementation:SeleniumHQ Selenium Closure Dragger
- Implementation:Langfuse Langfuse Sessions UI Table Service
- Implementation:Open compass VLMEvalKit MMAlignBench
- Implementation:FlagOpen FlagEmbedding MLVU Needle Data
- Implementation:Kserve Kserve Kafka ImageTransformer
- Implementation:Vllm project Vllm LLM Get Metrics
- Implementation:Interpretml Interpret Powerlift BicepAzureContainerInstance
Heuristics
- Heuristic:Openclaw Openclaw Cache TTL Asymmetric Strategy
- Heuristic:Ucbepic Docetl Validation Retry Strategy
- Heuristic:Ollama Ollama Sampling Numerical Stability
- Heuristic:Huggingface Datatrove MinHash Parameter Tuning
- Heuristic:Pola rs Polars Streaming For Large Datasets
- Heuristic:Duckdb Duckdb Sanitizer Configuration
- Heuristic:Apache Druid Capability Detection Strategy
- Heuristic:Microsoft Semantic kernel Function Choice Behavior Selection
- Heuristic:Sdv dev SDV Gaussian KDE Incompatibility
- Heuristic:Scikit learn Scikit learn Random State Management
Environments
- Environment:Huggingface Alignment handbook BitsAndBytes CUDA
- Environment:Kserve Kserve Knative Serving
- Environment:PacktPublishing LLM Engineers Handbook API Credentials
- Environment:Explodinggradients Ragas Google Drive Backend Environment
- Environment:Explodinggradients Ragas LLM Provider Environment
- Environment:InternLM Lmdeploy CUDA GPU Runtime
- Environment:Mlc ai Mlc llm OpenCL Android Environment
- Environment:FlagOpen FlagEmbedding Finetuning Environment
- Environment:ThreeSR Awesome Inference Time Scaling GitHub Account Environment
- Environment:Neuml Txtai GPU Accelerator Detection