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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:Microsoft Onnxruntime On Device Training
- Workflow:Truera Trulens Custom App Instrumentation And Evaluation
- Workflow:Evidentlyai Evidently Monitoring Dashboard Setup
- Workflow:Openai Openai python Realtime Conversation
- Workflow:Zai org CogVideo SAT Finetuning
- Workflow:Mbzuai oryx Awesome LLM Post training Deep Paper Collection
- Workflow:Facebookresearch Audiocraft Model Export And Deployment
- Workflow:Fede1024 Rust rdkafka Produce Consume Roundtrip
- Workflow:MaterializeInc Materialize Upgrade Testing
- Workflow:OpenGVLab InternVL Supervised Finetuning
Principles
- Principle:Webdriverio Webdriverio Step Definition Binding
- Principle:Langchain ai Langgraph Interrupt Graph Compilation
- Principle:Huggingface Trl PPO Model Saving and Evaluation
- Principle:SeldonIO Seldon core Monitoring Component Deployment
- Principle:TA Lib Ta lib python Python Extension Building
- Principle:Truera Trulens Selector Based Data Extraction
- Principle:Marker Inc Korea AutoRAG Pipeline Runner Initialization
- Principle:Openclaw Openclaw Plugin Installation
- Principle:OpenGVLab InternVL Flash Attention Optimization
- Principle:Tensorflow Serving TFRT Model Management
Implementations
- Implementation:Speechbrain Speechbrain Train SLURP Direct Wav2Vec
- Implementation:SeleniumHQ Selenium WindowType
- Implementation:Ggml org Llama cpp Llama Decode
- Implementation:Cypress io Cypress Git Commit PR Pattern
- Implementation:EvolvingLMMs Lab Lmms eval TUI Server
- Implementation:Explodinggradients Ragas Collections ResponseGroundedness Metric
- Implementation:Microsoft Onnxruntime CrossEntropy Declarations
- Implementation:EvolvingLMMs Lab Lmms eval ScreenSpot Utils
- Implementation:Online ml River Compose Select
- Implementation:Ggml org Ggml Ggml backend init best
Heuristics
- Heuristic:Google deepmind Mujoco Thread Pool Configuration
- Heuristic:Interpretml Interpret Categorical Float Conversion Gotcha
- Heuristic:DataExpert io Data engineer handbook SparkSession Singleton Pattern
- Heuristic:SeldonIO Seldon core Autoscaling Dual Config Tip
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Instance Norm for Multi GPU
- Heuristic:Tensorflow Serving Model Warmup Strategy
- Heuristic:Openai CLIP Linear Probe Regularization C
- Heuristic:Promptfoo Promptfoo Retry With Jitter
- Heuristic:Pyro ppl Pyro Guide Initialization Strategy
- Heuristic:AUTOMATIC1111 Stable diffusion webui UNet Performance Patches
Environments
- Environment:Huggingface Alignment handbook BitsAndBytes CUDA
- Environment:Langchain ai Langchain OpenAI API Credentials
- Environment:Datahub project Datahub Python 3 10 Ingestion Environment
- Environment:Tencent Ncnn Vulkan Environment
- Environment:Alibaba ROLL DeepSpeed Training Environment
- Environment:Neuml Txtai API Server Configuration
- Environment:Ucbepic Docetl Python Runtime
- Environment:Fastai Fastbook CUDA GPU Environment
- Environment:Junyanz Pytorch CycleGAN and pix2pix DDP Multi GPU
- Environment:Openai Whisper FFmpeg