revilokeb Goto Github PK
Type: User
Location: Berlin, Germany
revilokeb's Projects
airsim
Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research
deepdetect
Deep Learning API and Server in C++11 with Python bindings and support for Caffe
deepgtav
A plugin for GTAV that transforms it into a vision-based self-driving car development environment. It supports two main operation modes, Dataset generation or Reinforcement Learning environment and it is super easy to install!
distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
dlnd_language_translation
Project 4 of udacity deep learning nanodegree - version end of July 2017
imantics
:camera: Python package for managing, creating and visualizing different deep-learning image annotation formats
inception_resnetv2_caffe
Training the inception resnet v2 architecture in caffe
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
mmcv
Open MMLab Computer Vision Foundation
mmdetection
Open MMLab Detection Toolbox with PyTorch 1.0
models
Models and examples built with TensorFlow
object-detection-metrics
Most popular metrics used to evaluate object detection algorithms.
refinedet.pytorch
A higher performance PyTorch implementation of Single-Shot Refinement Neural Network for Object Detection
retinanet-examples
Fast and accurate object detection with end-to-end GPU optimization
roborace_erlerover
Code & Tools for the self-driving model based on Erle Rover
simpledet
A Simple and Versatile Framework for Object Detection and Instance Recognition
sniper
SNIPER is an efficient multi-scale object detection algorithm
tensorflow
Computation using data flow graphs for scalable machine learning
tensorpack
Neural Network Toolbox on TensorFlow
tpu
Reference models and tools for Cloud TPUs.
vgg16_batchnorm
VGG16 architecture with BatchNorm
vpilot
Steering, Throttle and Brake regressor from raw camera pixels for self-driving cars, trained with DeepGTAV
wide_residual_nets_caffe
training wide residual networks in caffe
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