687 Open source projects that are alternatives of or similar to Keras English Resume Parser And Analyzer

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

The first public PyTorch implementation of Attentive Recurrent Comparators

A deep learning framework for molecular docking

Fast Neural Style Transfer implementation in PyTorch 🎨 🎨 🎨

SRU is a recurrent unit that can run over 10 times faster than cuDNN LSTM, without loss of accuracy tested on many tasks.

Real time face alignment

Spying using Smartwatch and Deep Learning

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

SHAInet - a pure Crystal machine learning library

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Quantization of Convolutional Neural networks.

A machine learning experiment

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

A specially designed light version of Fast AutoAugment

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

Labeled images of the Where's Waldo puzzle for use in classification and image recognition problems.

Learning the Enigma with Recurrent Neural Networks

Keras implementation of Legendre Memory Units

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

papers on scalable and efficient machine learning systems

A simple interface for editing natural photos with generative neural networks.

Awesome-Text-Classification Projects,Papers,Tutorial .

CNN image classifier implemented in Keras Notebook 🖼️.

Weakly Supervised Deep Detection Networks (CVPR 2016)

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

Lung fields segmentation on CXR images using convolutional neural networks.

A bidirectional LSTM with attention for multiclass/multilabel text classification.

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

Image Deblurring using Generative Adversarial Networks

easy convolution neural network

Hiding Images within other images using Deep Learning

Simple Convolutional Neural Network Library

Reproduce CheXNet

MR-CNNs for Large-Scale Scene Recognition

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

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

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

Implementation of Very Deep Convolutional Neural Network for Text Classification

Various CNN models for CIFAR10 with Chainer

Plain Stock Close-Price Prediction via Graves LSTM RNNs

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

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet

lock mechanism with face recognition and liveness detection

The Pytorch Implementation of L-Softmax

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

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

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

Naszilla is a Python library for neural architecture search (NAS)

Image reconstruction done with untrained neural networks.

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

A curated list of Deep Learning resources sorted by reputation