**NOTE**: this repo is archived and no longer actively used and code has moved to https://github.com/SimonCarozza/autolrn, which you can use for regression as well.

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A tensorflow/keras implementation of a facial emotion recognition model based on a convolutional neural network architecture and trained on the FER2013 dataset with FERPlus labels.

Experimenting with sort different classical tracking algorithms for real time multiple object tracking (MOT)

Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. The system reduces training cost and time by dynamically updating the training cluster size during training, with minimal impact on model training accuracy.

fast image augmentation library and easy to use wrapper around other libraries

Simple, online, and realtime tracking of multiple objects in a video sequence.

Python Power Tools for Scientific Computing, Machine Learning and Deep Learning.

This application utilizes the Long Short-Term Memory (LSTM) method to forecast future gold prices. It provides information on the current gold price and estimates the future gold price. These predictions can assist gold traders in making informed investment decisions.

Char-RNN implemented using TensorFlow.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Simple Online Realtime Tracking with a Deep Association Metric

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[Forked] Official Implementation of "Learning Inclusion Matching for Animation Paint Bucket Colorization"

inception network in keras

Deep Learning for humans

A basic tutorial on Neural Networks

Robot learning project for Dr. Shuran Song's course, COMSE6998: Topics in Robot Learning. Team members: Seth Dennis, Matthew Román, Gustave Ducrest