780 Open source projects that are alternatives of or similar to Grad_cam_plus_plus

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

Visualising predictions of deep neural networks

Reproduce CheXNet

My attempt at implementing CapsNet from the paper Dynamic Routing Between Capsules

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

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

MR-CNNs for Large-Scale Scene Recognition

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

pytorch implementation of "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume"

Various CNN models for CIFAR10 with Chainer

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

Repository has been moved: https://github.com/adobe/antialiased-cnns

Xilinx Deep Learning IP

lock mechanism with face recognition and liveness detection

PSPNet implemented in PyTorch for single-person human parsing task, evaluating on Look Into Person (LIP) dataset.

TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation

Biologically-realistic recurrent convolutional neural networks

A polyfill for Web Neural Network (WebNN) API

Deep Learning Toolkit for Medical Image Analysis

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

Play MK.js with TensorFlow.js

Recognizes the facial emotion and overlays emoji, equivalent to the emotion, on the persons face.

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

vehicle image retrieval using k CNNs ensemble method

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

A python program to detect and classify hand pose using deep learning techniques

The deeplearning algorithms implemented by tensorflow

Super Resolution of picture images using deep learning

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

Speech Recognition model based off of FAIR research paper built using Pytorch.

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

PSPNet in Chainer

use cnn recognize captcha by tensorflow. 本项目针对字符型图片验证码，使用tensorflow实现卷积神经网络，进行验证码识别。

FaceBoxes for hand detection in PyTorch

Object localization in images using simple CNNs and Keras

Keras implementation of a CNN network for age and gender estimation

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

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Source codes and corpora of paper "Iterated Dilated Convolutions for Chinese Word Segmentation"

Character-level Convolutional Networks for Text Classification论文仿真实现

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

S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, O. Wang. Deep Video Deblurring. CVPR 2017, Spotlight

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

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

游戏捏脸，基于神经风格迁移框架生成逼真人脸

Estimate/count FLOPS for a given neural network using pytorch

Supervised Semantics-preserving Deep Hashing (TPAMI18)

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

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

This code implements a simple CNN model for document classification with tensorflow.

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

Code examples for training AlexNet using Keras and Theano

Nonrigid image registration using multi-scale 3D convolutional neural networks