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3dmot_motion

ab3dmot

Official Python Implementation for "A Baseline for 3D Multi-Object Tracking"

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

attentionpipeline

internship project at CMU, 2017-2018

bdd-data

Toolkit to use BDD Dataset

bmw-tensorflow-inference-api-cpu

This is a repository for an object detection inference API using the Tensorflow framework.

bmw-tensorflow-training-gui

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! Training with TensorFlow has never been so easy.

bmw-yolov3-inference-api-cpu

This is a repository for an object detection inference API using the Yolov3 Opencv.

bmw-yolov3-inference-api-gpu

This is a repository for an object detection inference API using the Yolov3 Darknet framework.

bmw-yolov3-training-automation

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. Training with YOLOv3 has never been so easy.

capsule_net_pytorch

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

centernet

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

centernet-1

Object detection, 3D detection, and pose estimation using center point detection:

centernet-2

CenterNet / FCOS_PLUS/MatrixNets implemented by mmdetection

convert2yolo

This project purpose is convert voc annotation xml file to yolo-darknet training file format

course-v3

The 3rd edition of course.fast.ai - coming in 2019

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

darknetpy

darknetpy is a simple binding for darknet's yolo detector

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dib-r

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (NeurIPS 2019)

dvc

🦉Data Version Control | Git for Data & Models

efficientdet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

efficientnet-pytorch

A PyTorch implementation of EfficientNet

flow-code-python

Python I/O for optical flow files (.flo)

flownet2

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

flownet2-docker

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

homesecurity

Security camera with Raspberry pi and NVIDIA Jetson platforms

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python