6717 Open source projects that are alternatives of or similar to Tfwss

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.

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Image Tampering Detection using ELA and CNN

Generating Captions for images using Deep Learning

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

Text to Speech with PyTorch (English and Mongolian)

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Reproduce CheXNet

Copy-paste augmentation for segmentation and detection tasks

Keras implementation of a CNN network for age and gender estimation

Unsupervised instance segmentation via active robot interaction

Reducing the size of convolutional neural networks

Breast Cancer Classification using CNN and transfer learning

a collection of my notes on deep learning

Dstl Satellite Imagery Feature Detection

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

Detecting cinema shot types using a ResNet-50

Implementations of some popular Saliency Maps in Keras

Important paper implementations for Question Answering using PyTorch

Kaggle Segmentation Challenge

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

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

A journey into Convolutional Neural Network visualization

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

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

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

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

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

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

Deep learning codes and projects using Python

PyTorch tutorial for learners

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

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

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

Object classification with CIFAR-10 using transfer learning

Code examples for training AlexNet using Keras and Theano

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

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

Hiding Images within other images using Deep Learning

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

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

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

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

An awesome semantic segmentation model that runs in real time

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.

A machine learning experiment

hair segmentation in mobile device

CNN image classifier implemented in Keras Notebook 🖼️.

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

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

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

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

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Lung fields segmentation on CXR images using convolutional neural networks.

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

PyTorch re-implementation of DeepMask