CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

Implementing Searching for MobileNetV3 paper using Pytorch

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

A curated list of dedicated resources and applications

Release of CIFAR-10.1, a new test set for CIFAR-10.

pytorch and cifar10

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

15+ Machine/Deep Learning Projects in Ipython Notebooks

Convert CIFAR-10 and CIFAR-100 datasets into PNG images

image classification with CIFAR10 dataset w/ Tensorflow

ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch

Using Capsule Networks in GANS to generate very realistic fake images that could perhaps be used for deepfakes

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

Comparison of Generative Models in Tensorflow

Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Generative Adversarial Networks in TensorFlow 2.0

PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"

sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data

A numpy based CNN implementation for classifying images

AlexNet model from ILSVRC 2012

Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.

Collections of self-supervised methods, based on cvpods.

Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks

An implementation of MobileNetV3 with pyTorch

CIFAR 10 image dataset

Federated Learning: Parameter Server doing aggregation of updates to a model coming from clients participating in a Federated Learning setup. See also the Android application companion at https://github.com/mccorby/PhotoLabeller

Train DenseNet on Cifar-10 based on Keras

In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.