831 Open source projects that are alternatives of or similar to WSCNNTDSaliency

Deep Learning--深度学习

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Service Classification based on Service Description

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Tools to Design or Visualize Architecture of Neural Network

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

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

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

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

keras를 이용한 딥러닝 기초 학습

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Hierarchical Attention Networks for document classification

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Train your own data with MatConvNet

A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输：绝影】

YOLO for object detection tasks

Implementation of Quickdraw - an online game developed by Google

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Debugging, monitoring and visualization for Python Machine Learning and Data Science

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

A small convolution neural network deep learning framework implemented in c++.

No description or website provided.

SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

Face Recognition based on DeepID

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)

code and supplementary materials for a series of Medium articles about the BERT model

DeepDetect performance sheet

Product-Aware Answer Generation in E-Commerce Question-Answering

Code for the CVPR 2020 paper "A Multi-task Mean Teacher for Semi-supervised Shadow Detection"

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

Self-training with Weak Supervision (NAACL 2021)

Image Forgery Detection using Deep Learning, implemented in PyTorch.

Finetune ConvNets with Tensorflow

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Historical OpenStreetMap Objects to Machine Learning Training Samples

Final Project of the Udacity AI Programming with Python Nanodegree

This repository contains notes and projects of Data scientist track from dataquest course work.

Simple implementation of the LSUV initialization in keras

Sparse learning in TensorFlow using data acquired from Spark.

[TPAMI Special Issue on ICCV 2021 Best Papers, Oral] Just Ask: Learning to Answer Questions from Millions of Narrated Videos

A curated publication list on weakly-supervised temporal action localization

Traffic Sign Recognition - Fine tuning VGG16 + GTSRB

Generative Adversarial Learning Towards Fast Weakly Supervised Detection

RGB-D Salient Object Detection: A Survey

A flask website for style transfer

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

Official implementation of "Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform", ICCV 2021

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

(Machine) Learning to Do More with Less

This repo is meant for backend API for face comparision and computer vision. It is built on python flask framework

Research papers on ML for security

A Deep-Learning multi-purpose chatbot made using Python3

Sentiment Analysis: Deep Bi-LSTM+attention model

Deep troll uses a deep learning model that identifies whether an audio contains the Gemidao troll (AAAWN OOOWN NHAAA AWWWWN AAAAAH).

딥러닝 학습 자료를 모아두고 여러 사람이 참고하여 학습할 수 있도록 돕습니다.

Minimally Supervised Categorization of Text with Metadata (SIGIR'20)

Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.

This Toolbox contains E-measure, S-measure, weighted F & F-measure, MAE and PR curves or bar metrics for salient object detection.

Caffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers