Code used to train an augmented auto-encoder (aka denoising auto-encoder with more augmentations) for the DonkeyCar simulator.
MIT License
Statistics for this project are still being loaded, please check back later.
Automated Driving in NFS using CNN.
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in ...
Framework and OpenAI Gym environment for autonomous vehicle development.
PyGame-based quadcopter simulator & Reinforcement Learning Project
[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVP...
code for training the models from the paper "Learning Individual Styles of Conversational Gestures"
Data Augmentation with Variational Autoencoders (TPAMI)
Open source hardware and software platform to build a small scale self driving car.
Pre-training BART in Flax on The Pile dataset
Image generation with copy-paste for global wheat detection proposed by Najafian et al., 2021
lint - Leveraging INTerpretability
OpenCV Python Neural Network Autonomous RC Car
dataset and code for 2016 paper "Learning a Driving Simulator"
Code from "How useful is quantilization for mitigating specification-gaming?"
AeCC: Autoencoders for Compressed Communication