492 Open source projects that are alternatives of or similar to Antialiased Cnns

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

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"

Reference caffe implementation of LSUV initialization

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

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

Image Captioning: Implementing the Neural Image Caption Generator with python

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

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)

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

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

Keras tutorial for beginners (using TF backend)

Image Deblurring using Generative Adversarial Networks

CNN visualization tool in TensorFlow

Outdated, see new https://github.com/braindecode/braindecode

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Object classification with CIFAR-10 using transfer learning

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

Implementation of Very Deep Convolutional Neural Network for Text Classification

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Crack detection for an autonomous UAV

Dynamic Image Networks for Action Recognition

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

Identifying people from small audio fragments

SHAInet - a pure Crystal machine learning library

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

Quantization of Convolutional Neural networks.

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

Simple Convolutional Neural Network Library

Be Driven 🚘

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

Fast Neural Style Transfer implementation in PyTorch 🎨 🎨 🎨

A sign language interpreter using live video feed from the camera.

Real time face alignment

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

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

Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

Udacity Self-Driving Car Engineer Nanodegree projects.

Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Image reconstruction done with untrained neural networks.

Labeled images of the Where's Waldo puzzle for use in classification and image recognition problems.

Implementations of some popular Saliency Maps in Keras

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

A machine learning experiment

Important paper implementations for Question Answering using PyTorch

CNN image classifier implemented in Keras Notebook 🖼️.

Weakly Supervised Deep Detection Networks (CVPR 2016)

Timeception for Complex Action Recognition, CVPR 2019 (Oral Presentation)

Lung fields segmentation on CXR images using convolutional neural networks.

High-quality Neural Networks for Computer Vision 😎

A journey into Convolutional Neural Network visualization

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

A binary library for very fast face detection using compact CNNs.

easy convolution neural network