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

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.

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

Safe robot learning

Code for Describing a Knowledge Base

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.

End to End Steering Angle Prediction for Self-Driving Cars

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.

End to End Multiview Lip Reading

Keras Implementation of "End-to-End Sequence Labeling via Bi-directional LSTM-CNNs-CRF" by Ma Hovy et al 2016, on multimodal dataset from "Adaptive Co-attention Network for Named Entity Recognition in Tweets" paper AAAI 2018.