577 Open source projects that are alternatives of or similar to Addernet

deeplearning.ai , By Andrew Ng, All video link

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

BCDU-Net : Medical Image Segmentation

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

PyTorch to Keras model convertor

Draw multi-layer neural network in your browser

🚀 😏 Near Real Time CPU Face detection using deep learning

Convolutional Neural Network for Human Activity Recognition in Tensorflow

MobileNetV3 in pytorch and ImageNet pretrained models

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

RMDL: Random Multimodel Deep Learning for Classification

Head pose estimation by TensorFlow and OpenCV

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Keras tutorial for beginners (using TF backend)

Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

Digit recognition with Convolutional Neural Networks in WebGL

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

Face landmarks(fiducial points) detection benchmark

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

🔥 Reproducibly benchmarking Keras and PyTorch models

A large-scale dataset of both raw MRI measurements and clinical MRI images

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

Convolutional neural networks for artistic style transfer.

Medical image preprocessing and augmentation toolkit for deep learning

A best practice for tensorflow project template architecture.

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

Network Slimming (Pytorch) (ICCV 2017)

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

Efficient Learning of Augmentation Policy Schedules

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

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Neural network inference the Unix way

[CVPR2020] GhostNet: More Features from Cheap Operations

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.

Repository for most of the code from my YouTube channel

PyTorch reimplementation of Interactive Deep Colorization

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

船长关于机器学习、计算机视觉和工程技术的总结和分享

PyTorch implementation of PNASNet-5 on ImageNet

Building Convolutional Neural Networks From Scratch using NumPy

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.

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

VIP cheatsheets for Stanford's CS 230 Deep Learning

O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

[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。

Segmentation models with pretrained backbones. PyTorch.

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

Comparison of famous convolutional neural network models

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

A Real-time Mario Kart AI using CNNs, Offline Search, and DAGGER

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks