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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:Wandb Weave LLM Integration Tracing
- Workflow:VainF Torch Pruning Object Detection Pruning
- Workflow:Lm sys FastChat MT Bench Evaluation
- Workflow:Apache Hudi Flink Table Clustering
- Workflow:LaurentMazare Tch rs LLM Text Generation
- Workflow:Huggingface Open r1 Dataset Pass Rate Filtering
- Workflow:Facebookresearch Audiocraft JASCO Conditioned Music Generation
- Workflow:ContextualAI HALOs Offline SFT Alignment Pipeline
- Workflow:Google deepmind Dm control Control Suite RL Training
- Workflow:Mbzuai oryx Awesome LLM Post training Deep Paper Collection
Principles
- Principle:Nightwatchjs Nightwatch Dependency Management
- Principle:Deepset ai Haystack Optional Dependency Handling
- Principle:Tensorflow Tfjs Model Format Conversion
- Principle:Spotify Luigi Hadoop Job Configuration
- Principle:Puppeteer Puppeteer Page Creation
- Principle:FMInference FlexLLMGen CuBLAS Inference Wrappers
- Principle:Mage ai Mage ai JSON Schema Loading
- Principle:DevExpress Testcafe Execution Parameter Tuning
- Principle:Norrrrrrr lyn WAInjectBench Text Embedding Initialization
- Principle:Langgenius Dify StreamingDataProcessing
Implementations
- Implementation:Mlc ai Mlc llm CLI Calibrate
- Implementation:Facebookresearch Habitat lab RunningMeanAndVar
- Implementation:Run llama Llama index FunctionTool From Defaults
- Implementation:Alibaba ROLL Dataset Info Registry
- Implementation:Apache Paimon Blob From Descriptor
- Implementation:Googleapis Python genai Documents
- Implementation:Tensorflow Serving Tfrt Multi Inference Test
- Implementation:Langchain ai Langchain BaseStoreTests
- Implementation:Langgenius Dify WorkflowVariableHooks
- Implementation:Triton inference server Server L0 Memory Growth Test
Heuristics
- Heuristic:Fastai Fastbook Random Forest Defaults
- Heuristic:Puppeteer Puppeteer Mac Silicon Performance
- Heuristic:Huggingface Diffusers Dtype Precision Selection
- Heuristic:Huggingface Datatrove Thundering Herd Prevention
- Heuristic:NVIDIA NeMo Aligner Warning Deprecated Repository
- Heuristic:Openclaw Openclaw Conservative Error Retry Classification
- Heuristic:Allenai Open instruct GPU Memory Utilization
- Heuristic:Mistralai Client python Resource Context Manager
- Heuristic:FlagOpen FlagEmbedding Dynamic Batch Size Reduction
- Heuristic:Predibase Lorax GPU Sampling Optimization
Environments
- Environment:Princeton nlp SimPO CUDA Training
- Environment:Dagster io Dagster DAGSTER HOME Configuration
- Environment:Datahub project Datahub Spark Lineage Environment
- Environment:Langgenius Dify Docker Deployment Environment
- Environment:BerriAI Litellm PostgreSQL Database
- Environment:Alibaba MNN GPU OpenCL Environment
- Environment:Alibaba ROLL Ascend NPU Environment
- Environment:Spotify Luigi AWS S3 Storage
- Environment:Kubeflow Pipelines Python SDK
- Environment:Google deepmind Dm control Python MuJoCo Runtime