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

Open-Source Large Vocabulary Continuous Speech Recognition Engine

A convolutional neural network for graph classification in PyTorch

A simple example for use speech recognition baidu api with python.

Generating Captions for images using Deep Learning

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

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

A MNIST-like fashion product database. Benchmark 👇

kaldi-asr/kaldi is the official location of the Kaldi project.

Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge

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

A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"

Interactive convnet features visualization for Keras

Unity Post Processing with Convolution Neural Network

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

CMU's OpenPose for ROS

Data augmentation using synthetic data for time series classification with deep residual 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.

Super Resolution of picture images using deep learning

ASR with PyTorch

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

Deep Learning For Computer Vision With Python

Speech Recognition model based off of FAIR research paper built using Pytorch.

A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.

PSPNet in Chainer

Sentence Classifications with Neural Networks

FaceBoxes for hand detection in PyTorch

PyTorch implementation of SIFT descriptor

Keras implementation of a CNN network for age and gender estimation

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

CNN CBIR benchmark (ongoing)

🐸 collection of TTS papers

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

A End to End CNN Model which predicts the steering wheel angle based on the video/image

Character-level Convolutional Networks for Text Classification论文仿真实现

Some of my scripts to automate the boring stuff around me

A curated list of research papers and resources on code-switching

A pytorch based end2end speech recognition system.

Learning Deep Features for Discriminative Localization (2016)

自然语言处理领域下的对话语音领域，整理相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

A Unified Convolutional Neural Network Approach of Gesture Recognition and Fingertip Detection.

In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CNN model and Residual Neural Network.

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

Robust freeform surface modeling from user 2d sketches.

Semantic segmentation on iPhone using ESPNetv2

Fast Neural Style Transfer implementation in PyTorch 🎨 🎨 🎨

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

CNN 1D vs 2D audio classification

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

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

easy convolution neural network

Automated Driving in NFS using CNN.

Finding Tiny Faces in PyTorch

A machine learning experiment

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

DELTA is a deep learning based natural language and speech processing platform.

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.