🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

TensorFlow Basic Tutorial Labs

Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.

A series of machine learning tutorials for Torch7

Facenet implementation by Keras2

Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version

Urban sound classification using Deep Learning

身份证识别OCR

Speech Recognition with the Caffe deep learning framework, migrating to

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

Experiments, algorithms and reports in machine learning reseach.

Neural image captioning (NIC) implementation with Keras 2.

Deep Learning experiments for audio classification

Detecting emotions using MFCC features of human speech using Deep Learning

mixlingual speech recognition system; hybrid (GMM+NNet) model; Kaldi + Keras

Ral-Time Tensor Flow Face Detection and Recognition

Deep learning based Speech Beamforming

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

My solution to the Udacity Self-Driving Car Engineer Nanodegree Vehicle Detection and Tracking project.

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem

Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement