979 Open source projects that are alternatives of or similar to Models Comparison.pytorch

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

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

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

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

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

RMDL: Random Multimodel Deep Learning for Classification

deeplearning.ai , By Andrew Ng, All video link

SHAInet - a pure Crystal machine learning library

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

Emotion recognition using DNN with tensorflow

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

PyTorch implementation of Super SloMo by Jiang et al.

Medical image registration using deep learning

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

Unofficial PyTorch Reimplementation of RandAugment.

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

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

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

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

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

PSPNet in Chainer

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

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Top 200 deep learning Github repositories sorted by the number of stars.

PyTorch implementation of LeNet-5 with live visualization

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

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

Keras tutorial for beginners (using TF backend)

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

This is an open sourced book on deep learning.

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

Corruption and Perturbation Robustness (ICLR 2019)

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

Hiding Images within other images using Deep Learning

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

Deep Learning for Time Series Classification

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

The Official Deep Learning Framework for Route-based Place Recognition

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

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

ConvNets for Audio Recognition using Google Commands Dataset

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Breast Cancer Classification using CNN and transfer learning

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

Perform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.

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

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

PyTorch tutorial for learners

convolutional lstm implementation in pytorch

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

HDLTex: Hierarchical Deep Learning for Text Classification

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

Deep Learning in Haskell

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.