602 Open source projects that are alternatives of or similar to Grad Cam

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).

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Simplify the training and tuning of Tensorflow models

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

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.

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

CNN image style transfer 🎨.

Supervised Semantics-preserving Deep Hashing (TPAMI18)

[UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。

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

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

Build a CNN network to predict 3D bounding box of car from 2D image.

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

3D image classification using CNN (Convolutional Neural Network)

A curated list of resources focused on Machine Learning in Geospatial Data Science.

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

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

Outdated, see new https://github.com/braindecode/braindecode

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

TensorFlow and Deep Learning Tutorials

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

A High-Quality Real Time Upscaler for Anime Video

Corruption and Perturbation Robustness (ICLR 2019)

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

A image registration method using convolutional neural network features.

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

🔥 JavaScript Library for HTML5 canvas based heatmaps

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

food image to recipe with deep convolutional neural networks.

A specially designed light version of Fast AutoAugment

Human-explainable AI.

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

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

CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet

Velocity in deep-learning research

Some of my scripts to automate the boring stuff around me

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

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

Keras implementation of Non-local Neural Networks

This's an implementation of deepmind Visual Interaction Networks paper using pytorch

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Dynamic Image Networks for Action Recognition

Timelines Chart

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

A collection of infrastructure and tools for research in neural network interpretability.

MetalImage is more faster and powerful than opengles for iOS. It is very similar to GPUImage framework, but perform a better 3D rendering and multithreads computing abilities.

A kibana visualization that uses swim lanes to visualize multiple sources over time. Each swim lane represents a source and the intervals of the date histogram are colored based on the metric defined at the given time.

Skin cancer classification using Inceptionv3

High-efficiency floating-point neural network inference operators for mobile, server, and Web

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約

Play deep learning with CIFAR datasets

Fine-tune pretrained Convolutional Neural Networks with PyTorch

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.