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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:MaterializeInc Materialize Docker Image Build
- Workflow:BerriAI Litellm Proxy Server Deployment
- Workflow:Mlc ai Web llm Basic Chat Completion
- Workflow:Openai CLIP Zero shot image classification
- Workflow:Eventual Inc Daft Data Lakehouse ETL
- Workflow:Ggml org Ggml Vision Model Inference
- Workflow:NVIDIA TransformerEngine FP8 Training Quickstart
- Workflow:Volcengine Verl GRPO Training Pipeline
- Workflow:OpenBMB UltraFeedback GPT4 Preference Annotation
- Workflow:Cypress io Cypress Component Test Execution
Principles
- Principle:Pola rs Polars Dynamic Temporal Aggregation
- Principle:Recommenders team Recommenders News Prediction Export
- Principle:Apache Hudi Clustering Strategy Configuration
- Principle:Datahub project Datahub Docker Prerequisites Validation
- Principle:Kserve Kserve LLM Worker Configuration
- Principle:Confident ai Deepeval Trace Metadata Enrichment
- Principle:Langchain ai Langgraph Cache Backend Selection
- Principle:Deepspeedai DeepSpeed Inference Configuration
- Principle:Ggml org Llama cpp Batch Processing System
- Principle:Neuml Txtai Task Wrapping
Implementations
- Implementation:Huggingface Datasets Dataset Shuffle
- Implementation:Pytorch Serve Metrics API
- Implementation:Tensorflow Serving ProcessModelStatusRequest
- Implementation:Mlc ai Mlc llm Sampler Header
- Implementation:Protectai Llm guard Output JSON
- Implementation:Vllm project Vllm LLM Generate Constrained
- Implementation:Tensorflow Serving servable state h
- Implementation:Facebookresearch Audiocraft MAGNeT get pretrained
- Implementation:NVIDIA DALI DALIDatasetOp
- Implementation:Online ml River Base MultiOutput
Heuristics
- Heuristic:Facebookresearch Habitat lab Warning Deprecated Legacy UI System
- Heuristic:Tencent Ncnn NMS Threshold Tuning
- Heuristic:Gretelai Gretel synthetics Binary Encoder Cutoff
- Heuristic:Apache Druid Explore Compare Query Strategy
- Heuristic:Alibaba ROLL Numerical Stability Epsilon
- Heuristic:Sktime Pytorch forecasting Gradient Clipping Value
- Heuristic:Openai Openai agents python MCP Server Lifecycle Management
- Heuristic:Roboflow Rf detr Resolution Divisibility Rule
- Heuristic:Princeton nlp Tree of thought llm Duplicate Candidate Zeroing
- Heuristic:Kubeflow Pipelines Resource Sizing For Components
Environments
- Environment:Allenai Open instruct Python 3 12 Runtime
- Environment:Mlfoundations Open flamingo WebDataset Training Dependencies
- Environment:Bentoml BentoML Python Runtime
- Environment:Evidentlyai Evidently Spark Engine Environment
- Environment:NVIDIA NeMo Curator Python Linux Base
- Environment:Huggingface Trl vLLM Generation Environment
- Environment:Datahub project Datahub Docker Runtime
- Environment:OWASP Www project top 10 for large language model applications Pydantic Invoice Agent Runtime
- Environment:MarketSquare Robotframework browser Python Runtime
- Environment:HKUDS AI Trader API Credentials