Pinned Repositories
apollo
An open autonomous driving platform
Apollo-Note
Note for Apollo 3.0 perception, prediction and planning modules
Autoware
Open-source software for urban autonomous driving
bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
brian2
Brian is a free, open source simulator for spiking neural networks.
Carla_Ray_Rlib
Carla-Simulator environment compatible with Ray/Rllib
Computer_Vision_Using_TensorFlowLite
On this project, AlexNet Convolution Neural Network is trained using traffic sign images from the German Road Traffic Sign Benchmark. The initially trained network is then quantized and optimized for deployment on mobile devices using TensorFlow Lite
Conf-net
Predicting Depth Completion Error-Map For High-Confidence Dense 3D Point-Cloud
deepo
A Docker image containing almost all popular deep learning frameworks: theano, tensorflow, sonnet, pytorch, keras, lasagne, mxnet, cntk, chainer, caffe, torch.
evt-MNIST
This is an event-driven version of MNIST dataset which can be used to evaluating spiking neural network's accuracy
layssi's Repositories
layssi/Carla_Ray_Rlib
Carla-Simulator environment compatible with Ray/Rllib
layssi/Autoware
Open-source software for urban autonomous driving
layssi/apollo
An open autonomous driving platform
layssi/Computer_Vision_Using_TensorFlowLite
On this project, AlexNet Convolution Neural Network is trained using traffic sign images from the German Road Traffic Sign Benchmark. The initially trained network is then quantized and optimized for deployment on mobile devices using TensorFlow Lite
layssi/Apollo-Note
Note for Apollo 3.0 perception, prediction and planning modules
layssi/bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
layssi/brian2
Brian is a free, open source simulator for spiking neural networks.
layssi/Conf-net
Predicting Depth Completion Error-Map For High-Confidence Dense 3D Point-Cloud
layssi/deepo
A Docker image containing almost all popular deep learning frameworks: theano, tensorflow, sonnet, pytorch, keras, lasagne, mxnet, cntk, chainer, caffe, torch.
layssi/evt-MNIST
This is an event-driven version of MNIST dataset which can be used to evaluating spiking neural network's accuracy
layssi/Fixedwing-Airsim
Combines JSBSim and Airsim with a python module to simulate a fixedwing
layssi/IMUDB
[RA-L 2023] Official Pytorch-Lightning Implementation for "A Simple Self-Supervised IMU Denoising Method For Inertial Aided Navigation", in IEEE Robotics and Automation Letters, 2023
layssi/PySNN
Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
layssi/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
layssi/rpg_eklt
Code for the paper "EKLT: Asynchronous, Photometric Feature Tracking using Events and Frames" (IJCV'19)
layssi/slayerPytorch
PyTorch implementation of SLAYER for training Spiking Neural Networks
layssi/SNN_benchmark
layssi/SNN_CV_Applications_Resources
Paper list for SNN based computer vision tasks.
layssi/social-nce
[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.
layssi/Trajectron-plus-plus
Code accompanying "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).