gans-2.0Generative Adversarial Networks in TensorFlow 2.0
Stars: ✭ 76 (+192.31%)
Chainer Cifar10Various CNN models for CIFAR10 with Chainer
Stars: ✭ 134 (+415.38%)
Neural ApiCAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
Stars: ✭ 94 (+261.54%)
NnpulearningNon-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10
Stars: ✭ 181 (+596.15%)
Randwire tensorflowtensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition
Stars: ✭ 29 (+11.54%)
Cifar-AutoencoderA look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
Stars: ✭ 42 (+61.54%)
Cifar 10 CnnPlay deep learning with CIFAR datasets
Stars: ✭ 756 (+2807.69%)
PFL-Non-IIDThe origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…
Stars: ✭ 58 (+123.08%)
Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Stars: ✭ 138 (+430.77%)
Tf VqvaeTensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
Stars: ✭ 226 (+769.23%)
numpy-cnnA numpy based CNN implementation for classifying images
Stars: ✭ 47 (+80.77%)
Pytorch-PCGradPytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
Stars: ✭ 179 (+588.46%)
MNISTHandwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
Stars: ✭ 28 (+7.69%)
awesome-computer-vision-modelsA list of popular deep learning models related to classification, segmentation and detection problems
Stars: ✭ 419 (+1511.54%)
catacombThe simplest machine learning library for launching UIs, running evaluations, and comparing model performance.
Stars: ✭ 13 (-50%)
Hand-Digits-RecognitionRecognize your own handwritten digits with Tensorflow, embedded in a PyQT5 GUI. The Neural Network was trained on MNIST.
Stars: ✭ 11 (-57.69%)
cluttered-mnistExperiments on cluttered mnist dataset with Tensorflow.
Stars: ✭ 20 (-23.08%)
ReZero-ResNetUnofficial pytorch implementation of ReZero in ResNet
Stars: ✭ 23 (-11.54%)
digit recognizerCNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).
Stars: ✭ 27 (+3.85%)
pcdarts-tf2PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.
Stars: ✭ 25 (-3.85%)
DCGAN-CIFAR10A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image
Stars: ✭ 18 (-30.77%)
catseyeNeural network library written in C and Javascript
Stars: ✭ 29 (+11.54%)
tensorflow-mnist-AAETensorflow implementation of adversarial auto-encoder for MNIST
Stars: ✭ 86 (+230.77%)
digitrecognition iosDeep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML
Stars: ✭ 23 (-11.54%)
Classification NetsImplement popular models by different DL framework. Such as tensorflow and caffe
Stars: ✭ 17 (-34.62%)
DCASE2020 task1Code for DCASE 2020 task 1a and task 1b.
Stars: ✭ 72 (+176.92%)
Skin Lesions Classification DCNNsTransfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
Stars: ✭ 47 (+80.77%)
playing with vaeComparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
Stars: ✭ 53 (+103.85%)
MNIST-TFLiteMNIST classifier built for TensorFlow Lite - Android, iOS and other "lite" platforms
Stars: ✭ 34 (+30.77%)
digdetA realtime digit OCR on the browser using Machine Learning
Stars: ✭ 22 (-15.38%)
ResidualAttentionNetworkA Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.
Stars: ✭ 104 (+300%)
yolov3-iosUsing yolo v3 object detection on ios platform.
Stars: ✭ 55 (+111.54%)
DensenetMXNet implementation for DenseNet
Stars: ✭ 28 (+7.69%)
jax-rlJAX implementations of core Deep RL algorithms
Stars: ✭ 61 (+134.62%)
crohme-data-extractorA modified extractor for the CROHME handwritten math symbols dataset.
Stars: ✭ 18 (-30.77%)
PaperSynthHandwritten text to synths!
Stars: ✭ 18 (-30.77%)