Tag: pytorch
12 posts
Book Review: Time Series with PyTorch
A review of Time Series with PyTorch, a broad deep-learning-for-forecasting book that teaches from honest evaluation ...
Testing MiniMax M2.7 via API on three real ML and coding workflows
An evaluation of MiniMax M2.7 used through Claude Code on three workflows I run regularly — writing code for a Kaggle...
Paper Review: DINOv3
Meta's self-supervised vision model trained on 17 billion images, introducing Gram anchoring to prevent feature degra...
Paper Review: MMS: Scaling Speech Technology to 1000+ languages
My review of the paper MMS Scaling Speech Technology to 1000+ languages
Paper Review: Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
My review of the paper Drag Your GAN Interactive Point-based Manipulation on the Generative Image Manifold
Paper Review: DarkBERT: A Language Model for the Dark Side of the Internet
My review of the paper DarkBERT A Language Model for the Dark Side of the Internet
Paper Review: ImageBind: One Embedding Space To Bind Them All
My review of the paper ImageBind One Embedding Space To Bind Them All
Paper Review: DINOv2: Learning Robust Visual Features without Supervision
How Meta built all-purpose visual features by scaling self-supervised pretraining to a curated 142M-image dataset, pr...
Paper Review: InceptionNeXt: When Inception Meets ConvNeXt
My review of the paper InceptionNeXt When Inception Meets ConvNeXt
Paper Review: Segment Anything
My review of the paper Segment Anything
Paper Review: Funnel Activation for Visual Recognition
My review of the paper Funnel Activation for Visual Recognition.
Paper Review: ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network
My review of the paper ReXNet Diminishing Representational Bottleneck on Convolutional Neural Network.