608 Open source projects that are alternatives of or similar to Bsconv

No description or website provided.

OpenMMLab Image Classification Toolbox and Benchmark

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Various CNN models for CIFAR10 with Chainer

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Reimplementation ResNet on cifar10 with caffe

Implementation of EfficientNet model. Keras and TensorFlow Keras.

🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

Deep learning codes and projects using Python

PyTorch implementation of shake-drop regularization

No description or website provided.

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

🙄 Difficult algorithm, Simple code.

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

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.

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

ResNet for Cifar10

A list of popular deep learning models related to classification, segmentation and detection problems

Keras implementation of a ResNet-CAM model

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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

Computer vision library for wildfire detection

猫狗大战

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

practice on CIFAR10 with Keras

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Classification with PyTorch.

Speech commands recognition with PyTorch

A list of popular deep learning models related to classification, segmentation and detection problems

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

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

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

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Classification models trained on ImageNet. Keras.

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

High level network definitions with pre-trained weights in TensorFlow

Unofficial pytorch implementation of ReZero in ResNet

Bottleneck Transformers for Visual Recognition

A simple logo classifier developed using Maixduino framework and PlatfomIO, to run on K210 MCU on Sipeed's Maix dev board.

Tensorflow Faster RCNN for Object Detection

A simple example on Image Classification in Node.js with TensorFlow.js

Tensorflow ResNet implementation on cifar10

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

Label Embedding Network

✅ CODAR is a Framework built using PyTorch to analyze post (Text+Media) and predict Cyber Bullying and offensive content. 💬📷

This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..

Tools to Design or Visualize Architecture of Neural Network

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Implementing YOLO using ResNet as the feature extraction network

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks