89 Open source projects that are alternatives of or similar to numpy-cnn

Generative Adversarial Networks in TensorFlow 2.0

PC-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.

Implementation of Conv-based and Vit-based networks designed for CIFAR.

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

Predict CIFAR-10 labels with 88% accuracy using keras.

Train DenseNet on Cifar-10 based on Keras

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

Pretrained TorchVision models on CIFAR10 dataset (with weights)

[ICLR'19] Complement Objective Training

PyTorch implementation of shake-drop regularization

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Tensorflow ResNet implementation on cifar10

Spectral Normalization for Keras Dense and Convolution Layers

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

Cifar-10 CNN implementation using TensorFlow library with 20% error.

A Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.

PyTorch implementation of Adversarially Learned Inference (BiGAN).

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

The implementation of Relativistic average GAN with Keras

anomaly detection by one-class SVM

Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.

pytorch implement of Lookahead Optimizer

Play deep learning with CIFAR datasets

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

pyTorch-text-classification

Various CNN models for CIFAR10 with Chainer

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

A PyTorch implementation of shake-shake

Weapon Detection & Classification through CCTV surveillance using Deep Learning-CNNs.

Pytorch implementation of Virtual Adversarial Training

Keras implementation of temporal ensembling(semi-supervised learning)

Classification with PyTorch.

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

Image Classification using Keras as well as Tensorflow.

Label Embedding Network

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Pre-trained VGG-Net Model for image classification using tensorflow

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

Naszilla is a Python library for neural architecture search (NAS)

tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

Theano implementation of XNOR-Net

ResNet-20/32/44/56/110 on CIFAR-10 with Caffe

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

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

3.41% and 17.11% error on CIFAR-10 and CIFAR-100

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Speech commands recognition with PyTorch

Federated Learning mini-framework with Keras

Semantic Segmentation using Fully Convolutional Neural Network.

The 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…

Reimplementation ResNet on cifar10 with caffe

AlexNet model from ILSVRC 2012

Potato Disease Classification - Training, Rest APIs, and Frontend to test.

15+ Machine/Deep Learning Projects in Ipython Notebooks