[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"

A Tensorflow implementation of Spatial Transformer Networks.

Building Convolutional Neural Networks From Scratch using NumPy

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

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

[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?"

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

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

My CS231n lecture notes

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

Various CNN models for CIFAR10 with Chainer

[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network

ASCII summary for simple sequential models in Keras

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

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

Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"

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

A collection of codes for 'how far can we go with MNIST' challenge