466 Open source projects that are alternatives of or similar to Dropblock

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Draw multi-layer neural network in your browser

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)

Unofficial PyTorch Reimplementation of RandAugment.

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

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

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

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

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

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.

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

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

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

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

Convolutional neural networks for artistic style transfer.

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

Code examples for new APIs of iOS 10.

PyTorch reimplementation of Interactive Deep Colorization

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

Convolutional Neural Network for Human Activity Recognition in Tensorflow

🔬 Nano size Theano LSTM module

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

RMDL: Random Multimodel Deep Learning for Classification

[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。

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

Keras tutorial for beginners (using TF backend)

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

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

Building Convolutional Neural Networks From Scratch using NumPy

Face landmarks(fiducial points) detection benchmark

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

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

food image to recipe with deep convolutional neural networks.

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

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

A best practice for tensorflow project template architecture.

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

Anomaly detection implemented in Keras

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Deep Learning Computer Vision Algorithms for Real-World Use

Corruption and Perturbation Robustness (ICLR 2019)

Repository for most of the code from my YouTube channel

A brand logo detection system using tensorflow object detection API.

BCDU-Net : Medical Image Segmentation

Deep Convolutional Neural Networks for Musical Source Separation

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

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

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.

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

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

This is an open sourced book on deep learning.

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

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

A modern PyTorch implementation of SRGAN

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

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

Efficient Learning of Augmentation Policy Schedules

[CVPR2020] GhostNet: More Features from Cheap Operations

Temporal Segments LSTM and Temporal-Inception for Activity Recognition