A Tensorflow implementation of Spatial Transformer Networks.

Building Convolutional Neural Networks From Scratch using NumPy

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

My CS231n lecture notes

Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification

PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

Convolutional neural network code for extracting Lunar craters from Digital Elevation Maps (DEMs).

Code repository for "Lagrangian Fluid Simulation with Continuous Convolutions", ICLR 2020.

Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.

Various CNN models for CIFAR10 with Chainer

A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.

What makes convnets so powerful at image classification?

A one stop shop for all of your activity recognition needs.

[ICLR 2023] "More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity"; [ICML 2023] "Are Large Kernels Better Teachers than Transformers for ConvNets?"

ASCII summary for simple sequential models in Keras

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

Mutli-label text classification using ConvNet and graph embedding (Tensorflow implementation)