650 Open source projects that are alternatives of or similar to Selecsls Pytorch

A light-weight, power efficient, and general purpose convolutional neural network

🔥 Reproducibly benchmarking Keras and PyTorch models

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Comparison of famous convolutional neural network models

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

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

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

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

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas

Deep learning for audio denoising

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

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

A generalized gradient-based CNN visualization technique

Impementation of MobileNetV2 in pytorch

Caffe for Sparse Convolutional Neural Network

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Tools for generating mini-ImageNet dataset and processing batches

Face identification with CNN + TPE using Keras

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

Facelet-Bank for Fast Portrait Manipulation (pytorch)

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

打造一款通用的AppUI结构，包括登录、注册等通用 UI 界面及各工具类和公共部分。

MTCNN with Motion Detection, on Raspberry Pi with Love

MoGA: Searching Beyond MobileNetV3

AI100文本分类竞赛代码。从传统机器学习到深度学习方法的测试

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

LCNN: End-to-End Wireframe Parsing

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

The Convolutional Neural Network(CNN) for Android

Text Classification by Convolutional Neural Network in Keras

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

CNN image style transfer 🎨.

A small convolution neural network deep learning framework implemented in c++.

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

Tengine is a lite, high performance, modular inference engine for embedded device

Simple program to learn CNN (LeNet-5) in pure C

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

Tutorials of deep learning for computer vision.

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

A neural network that transforms a design mock-up into a static website.

Hierarchical Attention Networks for document classification

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Implementing Searching for MobileNetV3 paper using Pytorch

Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017

Semantic JPEG image compression using deep convolutional neural network (CNN)

Infrastructures™ for Machine Learning Training/Inference in Production.

Symbolic Music Genre Transfer with CycleGAN

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

A simple baseline implemented in PyTorch for pedestrian attribute recognition task, evaluating on Market-1501 and DukeMTMC-reID dataset.

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

CNN for Chinese Text Classification in Tensorflow

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

3D image classification using CNN (Convolutional Neural Network)