sduzx Goto Github PK

3d-boundingbox

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry

a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

algorithm

algorithms

Minimal examples of data structures and algorithms in Python

algs4-py

WIP: A Python library for the textbook Algorithms, 4th edition

cifar-vgg

VGG16 models for CIFAR-10 and CIFAR-100 using Keras

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

kalman-filter

Kalman Filter implementation in Python using Numpy only in 30 lines.

keras-retinanet

Keras implementation of RetinaNet object detection.

kitti

Data loader for KITTI

lanecurvedetection

Detecting curvature in road lanes

monogrnet

MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Detection and Localization | KITTI

multinet

Real-time Joint Semantic Reasoning for Autonomous Driving

ngnet

NgNet is a car detector based on KittiBox.

pytorch-image-retrieval

A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (CVPR 2017).

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rrc_detection

Accurate Single Stage Detector Using Recurrent Rolling Convolution

senet

Squeeze-and-Excitation Networks

senet-tensorflow

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

ssd.tensorflow

State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow, QQ Group: 758790869

ssds.pytorch

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

tf-eager-yolo3

Yolo-v3 model was implemented with tensorflow eager style. I also implemented the eager model's training function and applied it to other datasets (digit detector, vehicle detector).

tf_angular_loss

Tensorflow Implementation of Deep Metric Learning with Angular Loss

vod-converter

Convert between visual object detection datasets