deep-learning

Physical Symbolic Optimization

A curated list of awesome papers on dataset distillation and related applications.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Tracking Any Point (TAP)

List of papers about Proteins Design using Deep Learning

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An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

Deep Learning model to analyze a large corpus of clear text passwords.

Training PyTorch models with differential privacy

Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs

Deep learning in Rust, with shape checked tensors and neural networks

TinyML AI inference library

A differentiable PDE solving framework for machine learning

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Gaussian processes in TensorFlow

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

Generic U-Net Tensorflow implementation for image segmentation

:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures

fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.