zmyzheng / Neural-Networks-and-Deep-LearningLinks
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). …
☆40Updated 6 years ago
Alternatives and similar repositories for Neural-Networks-and-Deep-Learning
Users that are interested in Neural-Networks-and-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Parkinson’s disease can be detected using speech. The phonation is the most affected in speech i.e. the sound when we pronounce the vowel…☆18Updated 4 years ago
- Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.☆46Updated 10 months ago
- This repository contains example of keras-tcn on easy way.☆57Updated 4 years ago
- Detecting emotions using MFCC features of human speech using Deep Learning☆128Updated 4 years ago
- Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM☆106Updated 4 years ago
- Classifying Audio to Emotion☆28Updated 5 years ago
- Emotion recognition with Keras library. Uses AffectNet dataset and valence-arousal labels. Implements CNN architecture with regression☆22Updated 5 years ago
- Deception and emotion detection via audio and video.☆37Updated 5 years ago
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆23Updated 4 years ago
- Urban Sound Classification: With Random Forest, SVM, DNN, RNN, and CNN Classifiers☆53Updated 7 years ago
- This project explores using machine learning methods for detection of Parkinson's disease using an individual's speech.☆13Updated 5 years ago
- Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆80Updated 4 years ago
- Using LSTM and CNN to detect faults in power grids☆14Updated 6 years ago
- Speech Emotion Detection using SVM, Decision Tree, Random Forest, MLP, CNN with different architectures☆34Updated last year
- Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classifica…☆94Updated 4 years ago
- Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras base on tutorial of Jason Brownlee☆21Updated 6 years ago
- Music genre classification using Convolutional Neural Networks on Spectrograms in PyTorch☆39Updated 6 years ago
- Time series course Fall 2019 project☆53Updated 4 years ago
- Attention-based bidirectional LSTM for Classification Task (ICASSP)☆115Updated 2 years ago
- ☆43Updated 5 years ago
- Features from audio: Spectrogram, (Wavelet Transform) Scalogram, (Q Transform) Spectrogram☆16Updated 6 years ago
- This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time se…☆42Updated 6 years ago
- Project Made during Virtual Summer Internship under leadingindia.ai and BENNETT UNIVERSITY.☆94Updated 2 years ago
- In this project we use RAVDESS Dataset to classify Speech Emotion using Multi Layer Perceptron Classifier☆27Updated 5 years ago
- Image Classification using Keras as well as Tensorflow.☆82Updated 10 months ago
- Sound Classification using Neural Networks☆50Updated 2 years ago
- Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.☆67Updated 6 years ago
- ☆90Updated 2 years ago
- ☆40Updated 8 years ago
- I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series ana…☆28Updated 5 years ago