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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:Microsoft Playwright API testing
- Workflow:Promptfoo Promptfoo LLM Evaluation
- Workflow:Volcengine Verl PPO Training With Reward Model
- Workflow:Alibaba ROLL Supervised Finetuning Pipeline
- Workflow:Googleapis Python genai Multimodal Content Generation
- Workflow:Astronomer Astronomer cosmos TaskGroup dbt integration
- Workflow:Langgenius Dify Visual Workflow Builder
- Workflow:Huggingface Optimum FX Graph Optimization
- Workflow:Puppeteer Puppeteer PDF Generation
- Workflow:ArroyoSystems Arroyo Connection Setup
Principles
- Principle:Haosulab ManiSkill GPU Parallelized Rollout
- Principle:Langgenius Dify Docker Infrastructure
- Principle:Spotify Luigi Web Visualiser Monitoring
- Principle:Triton inference server Server Generate API
- Principle:Apache Hudi Write Result Verification
- Principle:Huggingface Optimum Task and Model Resolution
- Principle:Cohere ai Cohere python Text Embedding
- Principle:FlowiseAI Flowise Workspace Management
- Principle:Apache Kafka Topic Configuration Alteration
- Principle:Pyro ppl Pyro Plated Einsum
Implementations
- Implementation:Recommenders team Recommenders SARSingleNode Init
- Implementation:OWASP Www project top 10 for large language model applications VotingSystem Categorize and Vote
- Implementation:TobikoData Sqlmesh ReportErrors
- Implementation:Langfuse Langfuse ProcessToIngestionEvents
- Implementation:Helicone Helicone Prompt State Types
- Implementation:Intel Ipex llm NPU Save Load
- Implementation:Neuml Txtai LiteLLM Vectors
- Implementation:Deepspeedai DeepSpeed SDAA Accelerator
- Implementation:Ucbepic Docetl Count Tokens
- Implementation:CrewAIInc CrewAI Enterprise API Spec Base
Heuristics
- Heuristic:Langchain ai Langgraph Recursion Limit Tuning
- Heuristic:Iamhankai Forest of Thought Early Stop Majority Vote
- Heuristic:Webdriverio Webdriverio Click Interception Workaround
- Heuristic:PeterL1n BackgroundMattingV2 Backbone Scale Selection
- Heuristic:Ucbepic Docetl Reduce Parallel Fold Tuning
- Heuristic:Apache Spark Hardware Provisioning Tips
- Heuristic:Duckdb Duckdb Unity Build Strategy
- Heuristic:FlowiseAI Flowise Heap Memory Configuration
- Heuristic:Anthropics Anthropic sdk python Model Deprecation Awareness
- Heuristic:Kornia Kornia CPU GPU Branching Tip
Environments
- Environment:Microsoft Onnxruntime Sklearn Conversion Environment
- Environment:Promptfoo Promptfoo Browser Automation
- Environment:Run llama Llama index Python LlamaIndex Core
- Environment:Deepset ai Haystack Python Runtime Environment
- Environment:Unslothai Unsloth CUDA VLLM
- Environment:Microsoft Autogen Studio Server Environment
- Environment:NVIDIA DALI CUDA GPU Environment
- Environment:Datajuicer Data juicer Python Runtime Environment
- Environment:Junyanz Pytorch CycleGAN and pix2pix DDP Multi GPU
- Environment:Apache Hudi Docker Demo Environment