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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:BerriAI Litellm Proxy Server Deployment
- Workflow:Fede1024 Rust rdkafka Mock Cluster Testing
- Workflow:Haosulab ManiSkill Custom Task Development
- Workflow:Langgenius Dify Visual Workflow Builder
- Workflow:Sktime Pytorch forecasting NBeats Univariate Forecasting
- Workflow:Norrrrrrr lyn WAInjectBench Text Prompt Injection Detection
- Workflow:SeleniumHQ Selenium Page Object Pattern Testing
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pretrained Inference
- Workflow:Deepspeedai DeepSpeed Sequence Parallel Long Context Training
- Workflow:Cypress io Cypress Local Development Environment
Principles
- Principle:Apache Spark Release Environment Isolation
- Principle:Langfuse Langfuse OTel S3 Upload and Queue Dispatch
- Principle:Huggingface Transformers Adapter Training
- Principle:Langchain ai Langchain Vector Store Initialization
- Principle:DataTalksClub Data engineering zoomcamp Loading Path Selection
- Principle:Lm sys FastChat Pairwise Rating Computation
- Principle:Langgenius Dify App Type Selection
- Principle:Guardrails ai Guardrails Server Config Scaffolding
- Principle:Langfuse Langfuse Prompt Retrieval and Resolution
- Principle:Nautechsystems Nautilus trader Catalog Data Querying
Implementations
- Implementation:FlowiseAI Flowise MainLayout
- Implementation:Evidentlyai Evidently Legacy Metric Results
- Implementation:Axolotl ai cloud Axolotl Load Cfg
- Implementation:Langchain ai Langgraph Pregel Invoke For Functional
- Implementation:Haifengl Smile DataFrame Column Operations
- Implementation:CrewAIInc CrewAI RAG Directory Loader
- Implementation:Hpcaitech ColossalAI Chat Conversation
- Implementation:Mage ai Mage ai Couchbase Source
- Implementation:Microsoft Onnxruntime OnnxSparseTensor JNI
- Implementation:Microsoft Autogen AssistantAgent On Messages Stream
Heuristics
- Heuristic:Dagster io Dagster Lazy Import Pattern
- Heuristic:Kornia Kornia Avoid Inplace Ops Compile
- Heuristic:ARISE Initiative Robosuite Domain Randomization Tuning
- Heuristic:Norrrrrrr lyn WAInjectBench LoRA Rank Alpha Selection
- Heuristic:Hiyouga LLaMA Factory Quantized Training Best Practices
- Heuristic:Apache Paimon File Sizing and Split Planning
- Heuristic:Langchain ai Langchain Pydantic V2 Configuration Tips
- Heuristic:ContextualAI HALOs Reference Logprob Caching
- Heuristic:TobikoData Sqlmesh Model Change Categorization
- Heuristic:Bigscience workshop Petals NF4 Quantization Default On CUDA
Environments
- Environment:Dotnet Machinelearning Dotnet SDK And Runtime
- Environment:Teamcapybara Capybara Ruby And Gem Dependencies
- Environment:Cohere ai Cohere python Cohere API Credentials
- Environment:Infiniflow Ragflow Frontend Node Environment
- Environment:Openai CLIP Python Dependencies
- Environment:Dagster io Dagster Container Resource Monitoring
- Environment:Langgenius Dify Redis And Celery Environment
- Environment:Microsoft Agent framework Python 3 10 Runtime
- Environment:Sail sg LongSpec Training Environment
- Environment:Marker Inc Korea AutoRAG Japanese NLP Dependencies