915 Open source projects that are alternatives of or similar to Salgan

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

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

deeplearning.ai , By Andrew Ng, All video link

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

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

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

Implementation of cs229(Machine Learning taught by Andrew Ng) in python.

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

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

DilatedNet in Keras for image segmentation

Multi-view CNN (MVCNN) for shape recognition

Custom implementation of Corrleation Module

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

Holistically-Nested Edge Detection

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

Real-Time Video Segmentation on Mobile Devices with DeepLab V3+, MobileNet V2. Worked on the project in 🏝 Jeju island

Looking for Enso, the visual programming language? ➡️ https://github.com/enso-org/enso

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

基于BERT的中文命名实体识别

Different types of data analytics projects : EDA, PDA, DDA, TSA and much more.....

Keylogger is 100% invisible keylogger not only for users, but also undetectable by antivirus software. Blackcat keylogger Monitors all keystokes, Mouse clicks. It has a seperate process which continues capture system screenshot and send to ftp server in given time.

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

List of Deep Learning Cloud Providers

基于深度学习的驾驶员分心驾驶行为（疲劳+危险行为）预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测

Infrastructure as code generator - from visual diagrams created with Cloudcraft.co to Terraform

PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

Velocity in deep-learning research

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

tensorflow implementation of Grad-CAM (CNN visualization)

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

Keras implementation of Non-local Neural Networks

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

A visual approach to serverless development. Think. Build. Repeat.

A PyTorch implementation of center loss on MNIST

Machine learning algorithms for many-body quantum systems

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Deep Sort algorithm C++ version

a web based livecoding environment

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

Multi-Scale Context Aggregation by Dilated Convolutions in Keras.

To know stats by heart

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator

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

Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Lev…

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

[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。

A modern PyTorch implementation of SRGAN

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

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

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

python从最基础的语法历经网络基础、前端基础、后端基础和爬虫与数据基础走向机器学习

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.