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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:Zai org CogVideo Diffusers Image to Video Inference
- Workflow:SeldonIO Seldon core HuggingFace Model Serving
- Workflow:Microsoft Onnxruntime ORTModule Training
- Workflow:Microsoft Playwright AI agent driven testing
- Workflow:Nightwatchjs Nightwatch Programmatic API Usage
- Workflow:Langfuse Langfuse Trace ingestion pipeline
- Workflow:NVIDIA TransformerEngine Comm GEMM Overlap Training
- Workflow:Sgl project Sglang Offline Batch Inference
- Workflow:Risingwavelabs Risingwave Docker Deployment
- Workflow:Mlc ai Web llm Web Worker Deployment
Principles
- Principle:Pytorch Serve Cloud Deployment
- Principle:Ray project Ray Actor Method Invocation
- Principle:Huggingface Datasets CSV Import
- Principle:Anthropics Anthropic sdk python Multi turn Conversation Management
- Principle:CARLA simulator Carla Sensor Data Streaming
- Principle:Cypress io Cypress Component Testing Configuration
- Principle:Huggingface Datasets Parquet Export
- Principle:Pytorch Serve GRPC Communication
- Principle:Nightwatchjs Nightwatch Element Interaction And Assertion
- Principle:Lm sys FastChat MT Bench Answer Generation
Implementations
- Implementation:Puppeteer Puppeteer ESLint Config
- Implementation:Bentoml BentoML CLI Entry Point
- Implementation:CARLA simulator Carla TrafficManager Class
- Implementation:Tensorflow Tfjs Embedding Layer
- Implementation:Microsoft Autogen Studio Type Guards
- Implementation:Online ml River Anomaly PAD
- Implementation:Bigscience workshop Petals DistributedBloomForCausalLM From Pretrained
- Implementation:ArroyoSystems Arroyo Configure Profile Page
- Implementation:Arize ai Phoenix HallucinationEvaluator
- Implementation:Ggml org Llama cpp Diffusion CLI
Heuristics
- Heuristic:Alibaba ROLL PPO Clipping Defaults
- Heuristic:Norrrrrrr lyn WAInjectBench LoRA Rank Alpha Selection
- Heuristic:Helicone Helicone ClickHouse ReplacingMergeTree FINAL
- Heuristic:EvolvingLMMs Lab Lmms eval Truncated Image Handling
- Heuristic:Protectai Modelscan Stricter Zip Detection
- Heuristic:Langgenius Dify Token Refresh Loop Prevention
- Heuristic:Alibaba MNN GPU Tuning Modes
- Heuristic:Openai Openai agents python GPT 5 Reasoning Settings
- Heuristic:Unslothai Unsloth Merge Memory Management
- Heuristic:Romsto Speculative Decoding Filler Top K Tuning
Environments
- Environment:Run llama Llama index Python LlamaIndex Core
- Environment:Langgenius Dify Docker Deployment Environment
- Environment:Spotify Luigi Tornado Web Server
- Environment:Datahub project Datahub Spark Lineage Environment
- Environment:Promptfoo Promptfoo Provider API Keys
- Environment:Langfuse Langfuse ClickHouse Analytics
- Environment:Risingwavelabs Risingwave Python Tooling Environment
- Environment:MarketSquare Robotframework browser Python Runtime
- Environment:Facebookresearch Audiocraft Python PyTorch CUDA Environment
- Environment:Openclaw Openclaw Mintlify Documentation Platform