6614 Open source projects that are alternatives of or similar to Grad Cam Tensorflow

Deep learning codes and projects using Python

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

Detecting cinema shot types using a ResNet-50

🙄 Difficult algorithm, Simple code.

food image to recipe with deep convolutional neural networks.

PyTorch tutorial for learners

Code examples for training AlexNet using Keras and Theano

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

Reproduce CheXNet

Hiding Images within other images using Deep Learning

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

python，机器学习笔记，machine learning，nlp

Reducing the size of convolutional neural networks

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

记录我学习数据挖掘过程的笔记和见到的奇技，持续更新～

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

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

All For NLP, especially Chinese.

a collection of my notes on deep learning

A machine learning experiment

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

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

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

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

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

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

Breast Cancer Classification using CNN and transfer learning

Generating Captions for images using Deep Learning

Image Tampering Detection using ELA and CNN

Implementing YOLO using ResNet as the feature extraction network

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

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

Keras implementation of a CNN network for age and gender estimation

Text to Speech with PyTorch (English and Mongolian)

Object classification with CIFAR-10 using transfer learning

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

Kaggle Data Science Bowl 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.

CNN image classifier implemented in Keras Notebook 🖼️.

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

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

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

A journey into Convolutional Neural Network visualization

Implementations of some popular Saliency Maps in Keras

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

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

Important paper implementations for Question Answering using PyTorch

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

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).

CNN image style transfer 🎨.

TensorFlow Tutorials

MTCNN with Motion Detection, on Raspberry Pi with Love

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

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

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

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