963 Open source projects that are alternatives of or similar to Switchable Normalization

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

Unofficial PyTorch Reimplementation of RandAugment.

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

Evaluation of the CNN design choices performance on ImageNet-2012.

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

🙈A PyTorch implementation of the paper "Visualizing and Understanding Convolutional Networks." （ECCV 2014)

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

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

deeplearning.ai , By Andrew Ng, All video link

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

PSPNet in Chainer

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

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

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

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

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

Corruption and Perturbation Robustness (ICLR 2019)

NeuPy is a Tensorflow based python library for prototyping and building neural networks

Next RecSys Library

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

Fine-tune pretrained Convolutional Neural Networks with PyTorch

CNN visualization tool in TensorFlow

Deep Learning for Time Series Classification

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

A Real-time Mario Kart AI using CNNs, Offline Search, and DAGGER

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

💃 Real-time single person pose estimation for Android and iOS.

SincNet is a neural architecture for efficiently processing raw audio samples.

Header-only library for using Keras models in C++.

Train the HRNet model on ImageNet

Medical image preprocessing and augmentation toolkit for deep learning

A general-purpose encoder-decoder framework for Tensorflow

Real time emotion recognition

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"

This repository includes some papers that I have read or which I think may be very interesting.

深度学习笔记

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

MobileNetV3 in pytorch and ImageNet pretrained models

A repository to curate and summarise research papers related to fashion and e-commerce

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Play deep learning with CIFAR datasets

This is tensorflow implementation for paper "Deep Image Matting"

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

Head pose estimation by TensorFlow and OpenCV