Training the inception resnet v2 architecture in caffe

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

VGG16 architecture with BatchNorm

training wide residual networks in caffe

Most popular metrics used to evaluate object detection algorithms.

A Simple and Versatile Framework for Object Detection and Instance Recognition

:camera: Python package for managing, creating and visualizing different deep-learning image annotation formats

Fast and accurate object detection with end-to-end GPU optimization

A higher performance PyTorch implementation of Single-Shot Refinement Neural Network for Object Detection

Open MMLab Computer Vision Foundation

Open MMLab Detection Toolbox with PyTorch 1.0

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Models and examples built with TensorFlow

SNIPER is an efficient multi-scale object detection algorithm

Code & Tools for the self-driving model based on Erle Rover

Reference models and tools for Cloud TPUs.

Neural Network Toolbox on TensorFlow

Deep Learning API and Server in C++11 with Python bindings and support for Caffe

Project 4 of udacity deep learning nanodegree - version end of July 2017

Computation using data flow graphs for scalable machine learning

Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

Steering, Throttle and Brake regressor from raw camera pixels for self-driving cars, trained with 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!