Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Time Series Feature Extraction using Deep Learning

A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles in CARLA to navigate scenarios with stationary obstacles.

pycaffe version of RSA 'Recurrent Scale Approximation for Object Detection in CNN'

📖These are the concept drift datasets we made, and we open-source the data and corresponding interfaces. Welcome to use them for free if there is a need.

RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation (MICCAI 2019)

As shown in this video https://youtu.be/0eTYs4n1LKg

Deep Learning (PyTorch) Models Deployment using SQL databases

🤖 Random machine learning projects (mainly used to teach myself new things)

video denosing with pytorch code

Quantum Classical Recurrent for Music Generation

Recurrent autoencoder with sequence-aware encoding - recurrent autoencoder, which trains faster.

Schedulability analysis based on recurrent neural networks (RNNs).

This repository provides the code of a binary classifier that is well documented, tested and was part of the Kaggle: American Express - Default Prediction challenge.