end-to-end-learning

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP

Code for PaperRobot: Incremental Draft Generation of Scientific Ideas

Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

DCFNet: Discriminant Correlation Filters Network for Visual Tracking

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

Weakly Supervised End-to-End Learning (NeurIPS 2021)

Evolutionary Graph Pattern Learner that learns SPARQL queries for a given set of source-target-pairs from an endpoint.

Safe robot learning

Official Implementation of Deep Aerial Image Matching using PyTorch

Fast Differentiable Forest lib with the advantages of both decision trees and neural networks

Code for Paper Abstract Writing through Editing Mechanism

Code for Describing a Knowledge Base

ROS2 End-to-End Lane Following Model with SVL Simulator

End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)

This repository contains the code for our upcoming paper An Investigation of End-to-End Models for Robust Speech Recognition at ICASSP 2021.

Autonomous driving simulation in the Unity engine.

An end-to-end (E2E) reinforcement learning model for autonomous vehicle collision avoidance in the CARLA simulator, using a recurrent PPO algorithm for dynamic control. The model processes RGB camera inputs to make real-time acceleration and steering decisions.

The Space Resorts sample capsule demonstrates a fully-developed capsule that uses several of the features and abilities discussed in the Bixby Developer Guides, while also using the best practices described in the Bixby Design Guides.