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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:Langgenius Dify Visual Workflow Builder
- Workflow:Facebookresearch Habitat lab Rearrangement HRL Training
- Workflow:Huggingface Transformers PEFT Adapter Integration
- Workflow:Kornia Kornia Differentiable Image Augmentation
- Workflow:Teamcapybara Capybara Element Finding And Interaction
- Workflow:Google research Deduplicate text datasets Wiki40B TFDS deduplication
- Workflow:ARISE Initiative Robosuite Gymnasium RL Integration
- Workflow:Kubeflow Kubeflow AI Lifecycle Pipeline
- Workflow:Huggingface Alignment handbook QLoRA Single GPU Finetuning
- Workflow:Marker Inc Korea AutoRAG Data Creation Pipeline
Principles
- Principle:Truera Trulens Dashboard Visualization
- Principle:Togethercomputer Together python Endpoint Management
- Principle:Tencent Ncnn Crowd Counting
- Principle:Fede1024 Rust rdkafka Latency Benchmarking
- Principle:Huggingface Trl Reward Preference Dataset Loading
- Principle:Apache Hudi Docker Image Building
- Principle:Huggingface Datasets XML Dataset Building
- Principle:Axolotl ai cloud Axolotl Vision Language Model Loading
- Principle:Farama Foundation Gymnasium Array Backend Conversion
- Principle:Cleanlab Cleanlab Multilabel Quality Scoring
Implementations
- Implementation:CrewAIInc CrewAI CSV Search Tool
- Implementation:Scikit learn Scikit learn GaussianProcessClassifier
- Implementation:Truera Trulens TruSession Init
- Implementation:Cypress io Cypress Mount Stub
- Implementation:Infiniflow Ragflow UseChangeDocumentParser Hook
- Implementation:Triton inference server Server Backend Selection
- Implementation:SeldonIO Seldon core Seldon Pipeline CRD
- Implementation:Lance format Lance JNI FileReader
- Implementation:Farama Foundation Gymnasium Text Space
- Implementation:Apache Paimon DeletionVector
Heuristics
- Heuristic:Risingwavelabs Risingwave Docker Memory Allocation
- Heuristic:Langfuse Langfuse Ingestion Date Boundary Delay
- Heuristic:Microsoft Semantic kernel Experimental Feature Opt In
- Heuristic:Volcengine Verl Inplace Operations OOM Prevention
- Heuristic:Lm sys FastChat GPU Memory Allocation Strategy
- Heuristic:Langchain ai Langchain Warning Deprecated Langchain Classic
- Heuristic:Intel Ipex llm Llama Padding Token Workaround
- Heuristic:Duckdb Duckdb Test Development Guidelines
- Heuristic:MaterializeInc Materialize CI Retry Strategies
- Heuristic:Cleanlab Cleanlab Multiprocessing Platform Strategy
Environments
- Environment:Hpcaitech ColossalAI ColossalQA RAG Environment
- Environment:Openclaw Openclaw Docker Deployment Environment
- Environment:Microsoft DeepSpeedExamples SuperOffload Runtime
- Environment:Spcl Graph of thoughts Local LLaMA GPU Inference
- Environment:Volcengine Verl Python Core Dependencies
- Environment:Farama Foundation Gymnasium JAX Functional Backend
- Environment:Predibase Lorax Docker Container Runtime
- Environment:OWASP Www project top 10 for large language model applications PR Description Generator Runtime
- Environment:Neuml Txtai GPU Accelerator Environment
- Environment:Microsoft Semantic kernel DotNet SDK Environment