1150 Open source projects that are alternatives of or similar to Bilinear Cnn Tensorflow

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

TensorFlow Implementation of state-of-the-art models since 2012

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

This toolbox is support material for the book on CNN (http://www.convolution.network).

A brand logo detection system using tensorflow object detection API.

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Visualisations for Convolutional Neural Networks in Pytorch

CNN image classifier implemented in Keras Notebook 🖼️.

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

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

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

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

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

3D image classification using CNN (Convolutional Neural Network)

Deep learning codes and projects using Python

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

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

CNN for Chinese Text Classification in Tensorflow

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

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

Code examples for new APIs of iOS 10.

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

RMDL: Random Multimodel Deep Learning for Classification

Building Convolutional Neural Networks From Scratch using NumPy

Tools to Design or Visualize Architecture of Neural Network

Notes for Deep Learning Specialization Courses led by Andrew Ng.

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

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

FPGA Accelerator for CNN using Vivado HLS

Image Deblurring using Generative Adversarial Networks

Implementation of Very Deep Convolutional Neural Network for Text Classification

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

A sign language interpreter using live video feed from the camera.

This is a repository for an object detection inference API using the Tensorflow framework.

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Reference code for the paper: Deep White-Balance Editing, CVPR 2020 (Oral). Our method is a deep learning multi-task framework for white-balance editing.

코딩셰프의 3분 딥러닝, 케라스맛

Speaker independent emotion recognition

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)

This is the open source project for RoboMaster 2018 contest from Southeast University

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

Repository has been moved: https://github.com/adobe/antialiased-cnns

Code for Java Deep Learning Cookbook

Udacity Self-Driving Car Engineer Nanodegree projects.

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Learning Chinese Character style with conditional GAN

ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

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

Implementations of some popular Saliency Maps in Keras

Important paper implementations for Question Answering using PyTorch

Image reconstruction done with untrained neural networks.