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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:ClickHouse ClickHouse Building From Source
- Workflow:Bigscience workshop Petals Prompt Tuning Chatbot
- Workflow:Pola rs Polars Time Series Analysis
- Workflow:Huggingface Transformers Pipeline Inference
- Workflow:Datahub project Datahub CLI Metadata Ingestion
- Workflow:Apache Beam Portable Pipeline Submission
- Workflow:Cypress io Cypress Binary Build and Release
- Workflow:Cohere ai Cohere python Semantic Search With Rerank
- Workflow:BerriAI Litellm SDK Completion
- Workflow:SeleniumHQ Selenium Selenium Grid Deployment
Principles
- Principle:TA Lib Ta lib python Pattern Scanning
- Principle:Scikit learn Scikit learn Metric Visualization
- Principle:Fastai Fastbook Latent Factor Model
- Principle:AnswerDotAI RAGatouille Model Training
- Principle:Allenai Open instruct Reward Model Evaluation
- Principle:Fastai Fastbook Tabular Preprocessing
- Principle:Iterative Dvc Remote Storage Configuration
- Principle:Huggingface Datatrove Job Status Monitoring
- Principle:Openai Openai agents python Tool Input Guardrail Definition
- Principle:MarketSquare Robotframework browser ES2015 Module Transpilation
Implementations
- Implementation:FMInference FlexLLMGen DeepSpeed Setup
- Implementation:Evidentlyai Evidently Legacy Data Quality Calculations
- Implementation:Farama Foundation Gymnasium Error Hierarchy
- Implementation:Microsoft Autogen Studio MCP Resources Tab
- Implementation:AnswerDotAI RAGatouille RAGPretrainedModel Search
- Implementation:Apache Shardingsphere YamlRuleConfigurationReflectionEngine Reflect
- Implementation:BerriAI Litellm Logging Callback Manager
- Implementation:Sdv dev SDV CTGANSynthesizer Init
- Implementation:Bigscience workshop Petals Server Run
- Implementation:Apache Shardingsphere DatabaseRuleConfigurationManager Refresh
Heuristics
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Image Size Multiple of Four
- Heuristic:Microsoft DeepSpeedExamples RLHF Stability Constraints
- Heuristic:Obss Sahi Warning Deprecated Legacy NMS
- Heuristic:Microsoft DeepSpeedExamples SuperOffload NUMA Binding
- Heuristic:Astronomer Astronomer cosmos Watcher Queue Sizing
- Heuristic:Apache Flink Async Sink Timeout And Backpressure Defaults
- Heuristic:Fastai Fastbook Dropout Regularization
- Heuristic:Alibaba ROLL Sequence Packing Alignment
- Heuristic:Tencent Ncnn Optimize Before Quantize
- Heuristic:NVIDIA DALI Warning Deprecated C API V1 Functions
Environments
- Environment:Rapidsai Cuml CUDA GPU
- Environment:Unstructured IO Unstructured OpenAI API
- Environment:Dagster io Dagster PostgreSQL Storage
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:Mlfoundations Open flamingo HuggingFace Open CLIP Dependencies
- Environment:Mistralai Client python Azure Deployment Environment
- Environment:Deepset ai Haystack GPU Device Environment
- Environment:Intel Ipex llm XPU Inference Environment
- Environment:Obss Sahi Python Detection Frameworks
- Environment:Kubeflow Kubeflow Kubectl Kustomize CLI Environment