Pinned Repositories
Autoware
Open-source software for urban autonomous driving.
cityscapesScripts
README and scripts for the Cityscapes Dataset
Convolutional-LSTM-in-Tensorflow
An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow
CSF
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
deep_q_learning
This is the Code for "Deep Q Learning - The Math of Intelligence #9" By Siraj Raval on Youtube
dnn-visualization
Deep Neural Network Visualization Tool
FRRN
Full Resolution Residual Networks for Semantic Image Segmentation
Ishara
Mouse control with gesture
Kubernetes-GPU-Guide
This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
attilaborcs's Repositories
attilaborcs/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
attilaborcs/Autoware
Open-source software for urban autonomous driving.
attilaborcs/cityscapesScripts
README and scripts for the Cityscapes Dataset
attilaborcs/Convolutional-LSTM-in-Tensorflow
An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow
attilaborcs/CSF
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
attilaborcs/deep_q_learning
This is the Code for "Deep Q Learning - The Math of Intelligence #9" By Siraj Raval on Youtube
attilaborcs/dnn-visualization
Deep Neural Network Visualization Tool
attilaborcs/FRRN
Full Resolution Residual Networks for Semantic Image Segmentation
attilaborcs/Ishara
Mouse control with gesture
attilaborcs/Kubernetes-GPU-Guide
This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
attilaborcs/lidar_projection
3d lidar point cloud 2d image projection in python.
attilaborcs/lstm
Minimal, clean example of lstm neural network training in python, for learning purposes.
attilaborcs/metaqnn
attilaborcs/MultiNet
Real-time Joint Semantic Reasoning for Autonomous Driving
attilaborcs/openpilot
open source driving agent
attilaborcs/pcl
Point Cloud Library (PCL)
attilaborcs/pipelines
Machine Learning Pipelines for Kubeflow
attilaborcs/PixelAnnotationTool
Annotate quickly images.
attilaborcs/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
attilaborcs/research
dataset and code for 2016 paper "Learning a Driving Simulator"
attilaborcs/simulated-unsupervised-tensorflow
TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"
attilaborcs/SparseVoxelOctree
Sparse Voxel Octree Implementation - Upenn CIS-565 final project
attilaborcs/Tensorboard-own-image-data-image-features-embedding-visualization
Learn how to visualize your own image data or features on Tensorboard Embedding Visualizer
attilaborcs/tensorflow-cpp
Image classification C++ example using tensorflow shared library
attilaborcs/tensorflow-input-pipelines
TensorFlow input pipelines for multiple datasets for easy data fetching
attilaborcs/tiny-dnn
header only, dependency-free deep learning framework in C++11