501 Open source projects that are alternatives of or similar to Ghostnet.pytorch

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

Anomaly detection implemented in Keras

RMDL: Random Multimodel Deep Learning for Classification

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Convolutional neural networks for artistic style transfer.

Data Efficient Model Compression

Repository for most of the code from my YouTube channel

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

[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。

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

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

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 brand logo detection system using tensorflow object detection API.

A best practice for tensorflow project template architecture.

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

Deep Learning Computer Vision Algorithms for Real-World Use

A light-weight, power efficient, and general purpose convolutional neural network

BCDU-Net : Medical Image Segmentation

Deep Convolutional Neural Networks for Musical Source Separation

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.

Vehicle detection using YOLO in Keras runs at 21FPS

Papers for deep neural network compression and acceleration

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

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

Multi-view CNN (MVCNN) for shape recognition

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Draw multi-layer neural network in your browser

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)

Convolutional Neural Network for Human Activity Recognition in Tensorflow

Keras- Multi Label Image Classification

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Code examples for new APIs of iOS 10.

Implementation of State-of-the-art Text Classification Models in Pytorch

Unofficial PyTorch Reimplementation of RandAugment.

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

This is an open sourced book on deep learning.

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

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

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.

Dataset of images of trash; Torch-based CNN for garbage image classification

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

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Keras tutorial for beginners (using TF backend)

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

knowledge distillation papers

A modern PyTorch implementation of SRGAN

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

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

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

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

Face landmarks(fiducial points) detection benchmark

Building Convolutional Neural Networks From Scratch using NumPy

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.