[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

[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?"

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

[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.

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

My CS231n lecture notes

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

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

Various CNN models for CIFAR10 with Chainer

ASCII summary for simple sequential models in Keras

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

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

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

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

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

Fully unsupervised 2D/3D image registration with ConvNet (TensorFlow)

What makes convnets so powerful at image classification?

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

Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project

Convolutional Neural Network for Android using Kivy and NumPy

A convolutional neural network for images recognition

A naive (very simple!) implementation of a convolutional neural network

Estimating galaxy gas mass fractions using SDSS imaging

Precursor microRNA Identification Using Deep Convolutional Neural Networks