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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:Speechbrain Speechbrain Speech Enhancement Training
- Workflow:Kserve Kserve Deploying InferenceService
- Workflow:FlowiseAI Flowise Chatflow Creation
- Workflow:Explodinggradients Ragas Agent Evaluation
- Workflow:AUTOMATIC1111 Stable diffusion webui Text to image generation
- Workflow:Microsoft Playwright Network mocking and interception
- Workflow:Roboflow Rf detr Custom Dataset Finetuning
- Workflow:AUTOMATIC1111 Stable diffusion webui LoRA network application
- Workflow:Cohere ai Cohere python Streaming Chat
- Workflow:SeleniumHQ Selenium Selenium Grid Deployment
Principles
- Principle:Marker Inc Korea AutoRAG Quality Filtering
- Principle:Webdriverio Webdriverio BrowserDetection
- Principle:FlagOpen FlagEmbedding LLM Representation Learning
- Principle:Run llama Llama index Finetuning Job Launch
- Principle:Infiniflow Ragflow LLM Configuration
- Principle:Princeton nlp SimPO Multi Seed Response Generation
- Principle:Deepspeedai DeepSpeed Pipeline Evaluation
- Principle:Allenai Open instruct Tensor Caching
- Principle:ARISE Initiative Robosuite Action Vector Construction
- Principle:Webdriverio Webdriverio PluginSystem
Implementations
- Implementation:CARLA simulator Carla MultiGPU Listener
- Implementation:Online ml River Metrics ClassificationReport
- Implementation:Togethercomputer Together python Endpoints CLI
- Implementation:Run llama Llama index Question Gen Types
- Implementation:Microsoft Autogen Response ToolEvents
- Implementation:Ollama Ollama Llama Memory Recurrent
- Implementation:Ggml org Llama cpp HF Upload GGUF
- Implementation:Haosulab ManiSkill URDFLoader
- Implementation:Tencent Ncnn Mat Pixel Resize
- Implementation:Mage ai Mage ai Destination Process Schema
Heuristics
- Heuristic:Allenai Open instruct Logprob Clamping
- Heuristic:Kubeflow Pipelines Resource Sizing For Components
- Heuristic:Facebookresearch Habitat lab VER Tuning Guidelines
- Heuristic:Ggml org Llama cpp GPU Layer Offloading Verification
- Heuristic:PeterL1n BackgroundMattingV2 Backbone Scale Selection
- Heuristic:Predibase Lorax CUDA Graph Batch Size Caching
- Heuristic:Interpretml Interpret Memory Budget Heuristic
- Heuristic:PacktPublishing LLM Engineers Handbook LoRA Finetuning Parameters
- Heuristic:Arize ai Phoenix Warning Deprecated HallucinationEvaluator
- Heuristic:Openai Evals Model Graded Eval Design
Environments
- Environment:Run llama Llama index Python LlamaIndex Core
- Environment:Langchain ai Langchain Unit Test Network Isolation
- Environment:DataExpert io Data engineer handbook Statsig API Environment
- Environment:Eventual Inc Daft Python PyArrow Core
- Environment:Googleapis Python genai Python 3 10 SDK Runtime
- Environment:OpenBMB UltraFeedback HuggingFace Hub Environment
- Environment:Nautechsystems Nautilus trader Asyncio Uvloop Event Loop
- Environment:Protectai Llm guard Python Runtime Dependencies
- Environment:Alibaba MNN GPU CUDA Environment
- Environment:Ggml org Llama cpp CUDA GPU Environment