[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?"

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

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

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

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

My CS231n lecture notes

Various CNN models for CIFAR10 with Chainer

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