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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 |
Explore Pages
Workflows
- Workflow:NVIDIA TransformerEngine FSDP Distributed Training
- Workflow:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
- Workflow:Hiyouga LLaMA Factory Model Inference and Serving
- Workflow:Microsoft Semantic kernel Kernel Setup And Chat Completion
- Workflow:ARISE Initiative Robosuite Teleoperation
- Workflow:Run llama Llama index Embedding Finetuning
- Workflow:MarketSquare Robotframework browser Browser Test Authoring
- Workflow:BerriAI Litellm Observability Integration
- Workflow:TobikoData Sqlmesh Incremental model development
- Workflow:Diagram of thought Diagram of thought DoT Iterative Reasoning
Principles
- Principle:Hpcaitech ColossalAI Tokenizer Vocabulary Expansion
- Principle:Unstructured IO Unstructured Strategy Selection
- Principle:FMInference FlexLLMGen Distributed Pipeline Parallel Inference
- Principle:OpenGVLab InternVL Segmentation Dataset Configuration
- Principle:Google research Deduplicate text datasets Duplicate Range Collection
- Principle:DataExpert io Data engineer handbook Spark Session Configuration
- Principle:Huggingface Datasets Feature Type Definition
- Principle:Infiniflow Ragflow Graph State Management
- Principle:Online ml River Anomaly Detection Base Interface
- Principle:Ollama Ollama GGUF Model Conversion Qwen25Vl
Implementations
- Implementation:Sktime Pytorch forecasting sLSTMLayer
- Implementation:NVIDIA TransformerEngine Ops AddExtraInput
- Implementation:Lance format Lance Scanner Filter Query
- Implementation:Mlc ai Mlc llm MLCEngineBase Terminate
- Implementation:Langchain ai Langchain AzureOpenAIEmbeddings
- Implementation:Apache Paimon ConfigOptionsDocGenerator
- Implementation:Huggingface Datasets SqlDatasetReader
- Implementation:Rapidsai Cuml Hinge Loss
- Implementation:Anthropics Anthropic sdk python Stream Parsed Snapshot
- Implementation:Apache Druid HistoryDialog
Heuristics
- Heuristic:FMInference FlexLLMGen Offloading Percent Tuning
- Heuristic:Pytorch Serve Ampere Tensor Core Optimization
- Heuristic:NVIDIA TransformerEngine Sequence Length Alignment
- Heuristic:Apache Airflow Scheduler Performance Tuning
- Heuristic:Treeverse LakeFS Warning Deprecated InternalApi Methods
- Heuristic:Arize ai Phoenix Adaptive Rate Limiting
- Heuristic:ContextualAI HALOs LoRA Merge At Save
- Heuristic:CarperAI Trlx Batch Size Tuning
- Heuristic:Datahub project Datahub Validation Across All APIs
- Heuristic:Huggingface Peft DoRA Inference Caching
Environments
- Environment:Deepspeedai DeepSpeed Python Runtime Environment
- Environment:Neuml Txtai GPU Accelerator Detection
- Environment:CrewAIInc CrewAI Python Runtime Environment
- Environment:Alibaba MNN GPU CUDA Environment
- Environment:Microsoft LoRA NLU Conda Environment
- Environment:FlowiseAI Flowise Node Runtime Environment
- Environment:Treeverse LakeFS S3 Gateway Test Environment
- Environment:BerriAI Litellm Docker Deployment
- Environment:Elevenlabs Elevenlabs python Python Httpx
- Environment:Online ml River Python Runtime Environment