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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:Dagster io Dagster RAG Pipeline
- Workflow:FlowiseAI Flowise Document Store Ingestion
- Workflow:Recommenders team Recommenders Neural Collaborative Filtering
- Workflow:Eventual Inc Daft Data Lakehouse ETL
- Workflow:CrewAIInc CrewAI Flow Based Orchestration
- Workflow:Neuml Txtai Agent Orchestration
- Workflow:Facebookresearch Audiocraft Model Export And Deployment
- Workflow:SqueezeAILab ETS Answer Evaluation Pipeline
- Workflow:Unstructured IO Unstructured Performance Profiling
- Workflow:Mage ai Mage ai SQL Database Source Extraction
Principles
- Principle:Isaac sim IsaacGymEnvs ADR State Checkpointing
- Principle:Scikit learn contrib Imbalanced learn Sphinx Documentation Configuration
- Principle:FMInference FlexLLMGen Runtime Utility Functions
- Principle:Getgauge Taiko Script Execution
- Principle:Mistralai Client python OCR Result Processing
- Principle:Shiyu coder Kronos Single Series Forecasting
- Principle:Apache Flink Source Checkpoint Recovery
- Principle:Vespa engine Vespa Log Rotation and Special Handling
- Principle:Farama Foundation Gymnasium Environment Instantiation
- Principle:Princeton nlp SimPO Configuration Parsing
Implementations
- Implementation:Sgl project Sglang Engine Shutdown
- Implementation:Scikit learn Scikit learn FetchCovtype
- Implementation:Mlc ai Mlc llm Batch Spec Verify
- Implementation:Romsto Speculative Decoding AutoModelForCausalLM From Pretrained
- Implementation:Tensorflow Serving Resnet Client GRPC Inference
- Implementation:NVIDIA TransformerEngine Common Init
- Implementation:ARISE Initiative Robomimic Split train val from hdf5
- Implementation:Ucbepic Docetl MOAR CliHelpers
- Implementation:NVIDIA NeMo Curator Wikipedia Extractor
- Implementation:Hiyouga LLaMA Factory WebUI Data Component
Heuristics
- Heuristic:Google research Deduplicate text datasets Parallel Job Scaling By Data Size
- Heuristic:Microsoft Autogen Parallel Tool Call Safety
- Heuristic:Microsoft BIPIA Torch Compile Platform Guard
- Heuristic:Spcl Graph of thoughts Scoring With Error Counting
- Heuristic:Kserve Kserve Autoscaler Concurrency Target
- Heuristic:Obss Sahi Warning Deprecated Legacy NMS
- Heuristic:Astronomer Astronomer cosmos Deprecation Migration Paths
- Heuristic:Spcl Graph of thoughts Four Bit Quantization For Local LLMs
- Heuristic:Fastai Fastbook Progressive Resizing
- Heuristic:Mlflow Mlflow Prompt Cache Tuning
Environments
- Environment:Vllm project Vllm Benchmarks
- Environment:Tencent Ncnn PyTorch Environment
- Environment:Langfuse Langfuse S3 Compatible Storage
- Environment:Deepset ai Haystack Python Runtime Environment
- Environment:Sgl project Sglang Prometheus
- Environment:CrewAIInc CrewAI Python Runtime Environment
- Environment:Norrrrrrr lyn WAInjectBench External Repos Dependencies
- Environment:Huggingface Optimum Accelerated Inference Environment
- Environment:PacktPublishing LLM Engineers Handbook Docker MongoDB Qdrant Infrastructure
- Environment:Marker Inc Korea AutoRAG Japanese NLP Dependencies