6565 Open source projects that are alternatives of or similar to Fakeimagedetector

A machine learning experiment

CNN image classifier implemented in Keras Notebook 🖼️.

Best Practices, code samples, and documentation for Computer Vision.

Efficient Learning of Augmentation Policy Schedules

Object classification with CIFAR-10 using transfer learning

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

Deep learning codes and projects using Python

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

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

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

Exploratory Project on Fast Screen Space Global Illumination

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Food Classification with Deep Learning in Keras / Tensorflow

A photo OCR project aims to output DMS messages contained in sign structure images.

Skin cancer classification using Inceptionv3

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

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

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

This toolbox is support material for the book on CNN (http://www.convolution.network).

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Trial on kaggle imagenet object localization by yolo v3 in google cloud

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

猫狗大战

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

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

Music recommender using deep learning with Keras and TensorFlow

Build an OCR for iOS apps

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Repo for Tang et al, bioRxiv 454793 (2018)

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Implementation of the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels"

TensorFlow Implementation of state-of-the-art models since 2012

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

CNN 1D vs 2D audio classification

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

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

Visualisations for Convolutional Neural Networks in Pytorch

Binary Convolution Network for faster real-time processing in ASICs

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

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

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Keras implementation of a CNN network for age and gender estimation

Deep Learning: Image classification, feature visualization and transfer learning with Keras

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

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Generating Captions for images using Deep Learning

Breast Cancer Classification using CNN and transfer learning

Reducing the size of convolutional neural networks