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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:Openclaw Openclaw Gateway Operations And Diagnostics
- Workflow:Diagram of thought Diagram of thought DoT Trace Extraction
- Workflow:EvolvingLMMs Lab Lmms eval Custom Task Creation
- Workflow:Huggingface Optimum Automatic Tensor Parallelization
- Workflow:Protectai Modelscan Programmatic Model Scanning
- Workflow:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:Pyro ppl Pyro MCMC Inference
- Workflow:Iamhankai Forest of Thought CGDM Post Processing
- Workflow:Puppeteer Puppeteer Web Scraping And Interaction
- Workflow:Mbzuai oryx Awesome LLM Post training Research Trend Analysis
Principles
- Principle:Spotify Luigi HPC Batch Execution
- Principle:Promptfoo Promptfoo Evaluation Execution
- Principle:Lucidrains X transformers Hybrid Discrete Continuous Tokens
- Principle:Pytorch Serve Model Artifact Configuration
- Principle:AUTOMATIC1111 Stable diffusion webui Checkpoint model selection
- Principle:EvolvingLMMs Lab Lmms eval Mathematical Answer Extraction
- Principle:TobikoData Sqlmesh Production Promotion
- Principle:Fede1024 Rust rdkafka Mock Client Configuration
- Principle:Astronomer Astronomer cosmos Local Operator Execution
- Principle:Kserve Kserve Model Lifecycle Management
Implementations
- Implementation:Mage ai Mage ai DynamoDB Source
- Implementation:CARLA simulator Carla BlueprintLibrary Filter
- Implementation:Apache Flink Mapred HadoopInputFormatBase
- Implementation:Interpretml Interpret AutoVisualizeProvider
- Implementation:Open compass VLMEvalKit ChartMimic
- Implementation:Microsoft Playwright HttpServer
- Implementation:BerriAI Litellm Callback Controls
- Implementation:Apache Airflow Provider Metadata Registry
- Implementation:Vespa engine Vespa ApplicationId
- Implementation:Langchain ai Langchain BaseChatModel Convert Input
Heuristics
- Heuristic:Google deepmind Mujoco Mesh Quality For Collision
- Heuristic:Tensorflow Serving Batching Thread Tuning
- Heuristic:Roboflow Rf detr Layer Wise LR Decay
- Heuristic:Kserve Kserve VLLM GPU Memory Utilization
- Heuristic:Vibrantlabsai Ragas Concurrency And Retry Configuration
- Heuristic:Apache Shardingsphere Shadow Routing Hint First Fallback
- Heuristic:SeleniumHQ Selenium Explicit Over Implicit Waits
- Heuristic:Anthropics Anthropic sdk python Warning Deprecated LegacyAPIResponse
- Heuristic:Tencent Ncnn Vulkan Pipeline Warmup
- Heuristic:Iamhankai Forest of Thought Tree Iteration Scaling
Environments
- Environment:OpenBMB UltraFeedback vLLM Multi GPU Environment
- Environment:Risingwavelabs Risingwave Docker Deployment Environment
- Environment:Vllm project Vllm Environment Variables
- Environment:Vllm project Vllm AArch64 CPU
- Environment:CarperAI Trlx DeepSpeed Multi GPU
- Environment:Langchain ai Langgraph Docker Deployment Environment
- Environment:PacktPublishing LLM Engineers Handbook AWS SageMaker GPU Environment
- Environment:Puppeteer Puppeteer Node 18 Runtime
- Environment:Fastai Fastbook Sklearn Environment
- Environment:ClickHouse ClickHouse OpenSSL Runtime