aascode's repositories
Face-identification-with-cnn-triplet-loss
Face identification with cnn+triplet-loss written by Keras.
Variable_Length_Emotion_Recognition
Classify the emotions from variable-length speech segments
AE_ts
Auto encoder for time series
awesome-deep-learning-music
List of articles related to deep learning applied to music
BLEBeacon-Dataset
A real-subject trial dataset from mobile Bluetooth Low Energy beacons
CARMA
CARMA: Software for Continuous Affect Rating and Media Annotation
CheXNet
A pytorch reimplementation of CheXNet
CROHME_extractor
CROHME dataset extractor for OFFLINE-text-recognition task.
DNN
code for creating and visualizing a DNN classifier on vowels and consonants.
emotion-recognition-neural-networks
Emotion recognition using DNN with tensorflow
ESC-50
ESC-50: Dataset for Environmental Sound Classification
Face_Recognition_Using_OpenFace_Simplified
This is a simplified version of using openface to recognize faces.
HappyDB
A corpus of 100,000 happy moments
IntegratedGradients
Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
kapre
kapre: Keras Audio Preprocessors
keras-face
face detection, verification and recognition using Keras
keras_vggface
TF keras_vggface
MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch and CoreML.
mReliability
MATLAB Functions for Computing Inter-Observer Reliability
protest-detection-violence-estimation
Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)
Python-Wrapper-for-World-Vocoder
A Python wrapper for the high-quality vocoder "World"
SNNs
Tutorials and implementations for "Self-normalizing networks"
Sound-Classification-Comparison
Classify sound using Deep Learning on Tensorflow and various machine learning models.
TEDTalk_Analytics
Companion code for Awe the Audience: How the Narrative Trajectories Affect Audience Perception in Public Speaking
tensorflow-speech-recognition-challenge
Kaggle Competitions - TensorFlow Speech Recognition Challenge
Text-Classification-Comparison
Classification comparison between various models and learning on emotion datasets
transfer_learning_music
Transfer learning for music classification and regression tasks
Web-Database-Analytics-Python
Web scrapping and related analytics using Python tools
Yunitator
Diarization of child/male/female speech using a Pytorch classifier