--- id: "/foundations/advanced/page/19/" title: "Foundations for advanced learners · page 19" creator: null creator_url: null creator_x: null url: "https://skillissue.dev/foundations/advanced/page/19/" level: null level_max: null category: null subcategory: null region: null license: null license_scope: null access: null models: null source_date: null date_added: null resource_kind: null verification_basis: null access_evidence: null domain_top: null domain_sub: null last_verified: null --- # Foundations for advanced learners [Beginner](/foundations/beginner/index.md) [Intermediate](/foundations/intermediate/index.md) [Advanced](/foundations/advanced/index.md) [Expert](/foundations/expert/index.md) 588 resources · page 19 of 19 - ### [Switch Transformers](/foundations/courses-and-learning-paths/switch-transformers/index.md) Creator not supplied; see original source. arXiv paper (2021) introducing Switch Transformers, sparse mixture-of-experts models scaled to a trillion parameters. Advanced · unknown · unknown resource · en - ### [A decoder-only foundation model for time-series forecasting (TimesFM)](/foundations/llm-fundamentals/timesfm-2/index.md) Creator not supplied; see original source. arXiv paper (2023) introducing TimesFM, a decoder-only foundation model for time-series forecasting. Advanced–Expert · unknown · unknown resource · en - ### [tslearn](/foundations/llm-fundamentals/tslearn/index.md) Creator not supplied; see original source. tslearn documentation: Python machine learning tools for time-series analysis. Advanced · unknown · unknown resource · en - ### [U-Net](/foundations/llm-fundamentals/u-net/index.md) Creator not supplied; see original source. arXiv paper (2015) "U-Net: Convolutional Networks for Biomedical Image Segmentation", introducing the encoder-decoder architecture with skip connections. Advanced–Expert · unknown · unknown resource · en - ### [Umar Jamil (YouTube)](/foundations/practitioner-overviews/umar-jamil-handle-unconfirmed/index.md) Creator not supplied; see original source. Umar Jamil's YouTube channel: line-by-line implementations of Transformer, LLaMA and diffusion models. Advanced · unknown · unknown resource · en - ### [verifiers v1](/foundations/llm-fundamentals/verifiers-v1/index.md) Creator not supplied; see original source. Prime Intellect post on verifiers v1, splitting environments into tasksets, harnesses and runtimes for agentic RL and evals. Advanced · unknown · unknown resource · en - ### [VGG](/foundations/llm-fundamentals/vgg/index.md) Creator not supplied; see original source. arXiv PDF of the VGG paper (2014) on very deep convolutional networks for large-scale image recognition. Advanced–Expert · unknown · unknown resource · und - ### [ViT](/foundations/llm-fundamentals/vit/index.md) Creator not supplied; see original source. arXiv paper (2020) introducing the Vision Transformer (ViT) for image recognition. Advanced–Expert · unknown · unknown resource · en - ### [WaveNet](/foundations/llm-fundamentals/wavenet/index.md) Creator not supplied; see original source. arXiv paper (2016) "WaveNet: A Generative Model for Raw Audio", introducing WaveNet, an autoregressive generative model of raw audio. Advanced–Expert · unknown · unknown resource · en - ### [Wide & Deep](/foundations/llm-fundamentals/wide-deep/index.md) Creator not supplied; see original source. arXiv paper (2016) "Wide & Deep Learning for Recommender Systems", introducing Google's Wide & Deep recommender model. Advanced–Expert · unknown · unknown resource · en - ### [xLSTM (NXAI, Linz)](/foundations/llm-fundamentals/xlstm-nxai-linz/index.md) Creator not supplied; see original source. arXiv paper (2024) introducing xLSTM, extended long short-term memory with exponential gating and matrix memory. Advanced–Expert · unknown · unknown resource · en - ### [YOLO](/foundations/llm-fundamentals/yolo/index.md) Creator not supplied; see original source. arXiv paper (2015) "You Only Look Once: Unified, Real-Time Object Detection", introducing YOLO, a single-stage real-time object detector. Advanced · unknown · unknown resource · en [Previous page](/foundations/advanced/page/18/index.md) [Plain-text Markdown copy](/foundations/advanced/page/19/index.md)