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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:Dotnet Machinelearning GenAI Causal LM Inference
- Workflow:AUTOMATIC1111 Stable diffusion webui Image to image generation
- Workflow:Snorkel team Snorkel Multitask Classification
- Workflow:Vllm project Vllm Multi LoRA Serving
- Workflow:Ggml org Llama cpp LoRA Adapter Workflow
- Workflow:Deepspeedai DeepSpeed Hybrid Engine RLHF Training
- Workflow:Apache Hudi Flink MOR Compaction
- Workflow:AUTOMATIC1111 Stable diffusion webui Image postprocessing and upscaling
- Workflow:Heibaiying BigData Notes Hive Data Warehouse Operations
- Workflow:Cohere ai Cohere python AWS Bedrock Deployment
Principles
- Principle:Fastai Fastbook Data Collection
- Principle:Langchain ai Langgraph Graph Constants
- Principle:CARLA simulator Carla Simulation Configuration
- Principle:Iterative Dvc Dependency Graph Construction
- Principle:Lm sys FastChat Conversation Preprocessing
- Principle:Pola rs Polars Streaming Query Building
- Principle:Diagram of thought Diagram of thought Reasoning Path Analysis
- Principle:ArroyoSystems Arroyo UDF Authoring
- Principle:Microsoft Onnxruntime Conversion Validation
- Principle:Astronomer Astronomer cosmos Airflow Provider Integration
Implementations
- Implementation:CrewAIInc CrewAI LanceDB Adapter
- Implementation:Explodinggradients Ragas Text2SQL DB Utils
- Implementation:Speechbrain Speechbrain Prepare KsponSpeech Root
- Implementation:Volcengine Verl Chat Message Template
- Implementation:Cleanlab Cleanlab Find Label Issues Batched
- Implementation:FlowiseAI Flowise ErrorContext
- Implementation:Ollama Ollama Imagegen ZImage VAE
- Implementation:NVIDIA NeMo Curator NewlineNormalizer
- Implementation:ArroyoSystems Arroyo Proto Schema Converter
- Implementation:MarketSquare Robotframework browser Data Types
Heuristics
- Heuristic:Mage ai Mage ai Record Deduplication Before Batch Export
- Heuristic:Iamhankai Forest of Thought Early Stop Majority Vote
- Heuristic:Openai Openai agents python GPT 5 Reasoning Settings
- Heuristic:Huggingface Alignment handbook QLoRA Learning Rate Scaling
- Heuristic:Apache Kafka Unknown Record Type Upgrade Safety
- Heuristic:Pytorch Serve Torch Compile Best Practices
- Heuristic:Princeton nlp SimPO Multi Seed Diversity
- Heuristic:LLMBook zh LLMBook zh github io LoRA Initialization Strategy
- Heuristic:Apache Druid Auto Granularity Selection
- Heuristic:Cleanlab Cleanlab Multiprocessing Platform Strategy
Environments
- Environment:Microsoft Onnxruntime CPU Training Environment
- Environment:ArroyoSystems Arroyo Rust Runtime
- Environment:Teamcapybara Capybara Ruby And Gem Dependencies
- Environment:SeldonIO Seldon core Go Build Toolchain Environment
- Environment:Protectai Modelscan H5py Optional
- Environment:Apache Spark Python Environment
- Environment:Kserve Kserve SRIOV RDMA Network
- Environment:Unslothai Unsloth CUDA VLLM
- Environment:Triton inference server Server GPU CUDA Runtime
- Environment:Sgl project Sglang Multimodal