960 Open source projects that are alternatives of or similar to Depression Detect

Object classification with CIFAR-10 using transfer learning

convolutional lstm implementation in pytorch

Simple Convolutional Neural Network Library

Implementation of Very Deep Convolutional Neural Network for Text Classification

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

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

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

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

FPGA Accelerator for CNN using Vivado HLS

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

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

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)

Udacity Self-Driving Car Engineer Nanodegree projects.

papers on scalable and efficient machine learning systems

코딩셰프의 3분 딥러닝, 케라스맛

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

Implementations of some popular Saliency Maps in Keras

Important paper implementations for Question Answering using PyTorch

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

aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)

TensorFlow template application for deep learning

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

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

Timeception for Complex Action Recognition, CVPR 2019 (Oral Presentation)

A binary library for very fast face detection using compact CNNs.

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, O. Wang. Deep Video Deblurring. CVPR 2017, Spotlight

PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Image reconstruction done with untrained neural networks.

This code implements a simple CNN model for document classification with tensorflow.

Nonrigid image registration using multi-scale 3D convolutional neural networks

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Sentence Classifications with Neural Networks

A python program to detect and classify hand pose using deep learning techniques

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

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

Some of my scripts to automate the boring stuff around me

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

Learning Deep Features for Discriminative Localization (2016)

A React-Native Bridge for the Google Dialogflow (API.AI) SDK

Style transfer using deep convolutional neural nets

use cnn recognize captcha by tensorflow. 本项目针对字符型图片验证码，使用tensorflow实现卷积神经网络，进行验证码识别。

Be Driven 🚘

Fast Neural Style Transfer implementation in PyTorch 🎨 🎨 🎨

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

Crack detection for an autonomous UAV

Real time face alignment

A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...

Identifying people from small audio fragments

Speech Recognition Using Tacotron

WaveNet vocoder

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

attention based joint model for intent detection and slot filling