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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:OpenGVLab InternVL LoRA Finetuning
- Workflow:PacktPublishing LLM Engineers Handbook Model Evaluation
- Workflow:Dotnet Machinelearning Binary Classification Pipeline
- Workflow:Datajuicer Data juicer Distributed Ray Processing
- Workflow:Snorkel team Snorkel Slice Aware Training
- Workflow:Roboflow Rf detr Roboflow Deployment
- Workflow:Kserve Kserve Canary Rollout Deployment
- Workflow:Scikit learn contrib Imbalanced learn Ensemble Imbalanced Classification
- Workflow:Run llama Llama index OpenAI LLM Finetuning
- Workflow:OpenBMB UltraFeedback Completion Generation
Principles
- Principle:Neuml Txtai Content Storage
- Principle:Haifengl Smile Linear System Solving
- Principle:Scikit learn contrib Imbalanced learn Balanced Batch Generation
- Principle:Puppeteer Puppeteer Platform Detection
- Principle:Online ml River Online Covariance Estimation
- Principle:Unstructured IO Unstructured Basic Chunking
- Principle:Langgenius Dify Plugin Installation
- Principle:Tensorflow Tfjs Spatial Padding
- Principle:Online ml River Anomaly Threshold Filtering
- Principle:SeldonIO Seldon core Component Model Deployment
Implementations
- Implementation:Deepset ai Haystack DocumentMAPEvaluator
- Implementation:PacktPublishing LLM Engineers Handbook SFTTrainer Train
- Implementation:ArroyoSystems Arroyo Json Schema Module
- Implementation:Infiniflow Ragflow LargeModelFormField Component
- Implementation:Deepspeedai DeepSpeed Custom CUDA Layers
- Implementation:ArroyoSystems Arroyo Pipeline Row
- Implementation:Apache Airflow Provider Metadata Registry
- Implementation:Apache Druid ExplainDialog
- Implementation:Farama Foundation Gymnasium Save Video
- Implementation:OpenHands OpenHands Button
Heuristics
- Heuristic:Vibrantlabsai Ragas Reasoning Model Parameter Constraints
- Heuristic:Obss Sahi Match Threshold Tuning
- Heuristic:Vespa engine Vespa Maven Parallel Build Optimization
- Heuristic:Apache Shardingsphere Worker ID Reservation Strategy
- Heuristic:Microsoft Semantic kernel Prompt Injection Safety
- Heuristic:Spcl Graph of thoughts Scoring With Error Counting
- Heuristic:Bentoml BentoML Adaptive Batching Tuning
- Heuristic:Eric mitchell Direct preference optimization Activation Checkpointing Memory
- Heuristic:ARISE Initiative Robomimic Data Worker Tuning By Modality
- Heuristic:Facebookresearch Habitat lab Resume State Config Override
Environments
- Environment:MaterializeInc Materialize Python CI Builder Runtime
- Environment:Truera Trulens LangChain LangGraph Environment
- Environment:Astronomer Astronomer cosmos Cloud Provider Dependencies
- Environment:Togethercomputer Together python Fine Tuning Data Requirements
- Environment:Deepset ai Haystack OpenAI API Environment
- Environment:Heibaiying BigData Notes HBase Environment
- Environment:Protectai Llm guard API Server Deployment
- Environment:Vibrantlabsai Ragas Google Drive Backend Environment
- Environment:Alibaba MNN CPU Build Environment
- Environment:Lance format Lance Cloud Storage Credentials