Jingjing Zheng's repositories
3DUnetCNN
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
AnoGAN
Implementation of AnoGAN (Anomaly GAN)
benchmark_results
visual tracker benchmark results
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
DSB2017
The solution of team 'grt123' in DSB2017
facenet
Face recognition using Tensorflow
FastMaskRCNN
Mask RCNN in TensorFlow
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
homework
Assignments for CS294-112.
imgaug
Image augmentation for machine learning experiments.
incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
mean-teacher
A state-of-the-art semi-supervised method for image recognition
models
Models built with TensorFlow
MV3D
Multi-View 3D Object Detection Network for Autonomous Driving
OSVOS-TensorFlow
One-Shot Video Object Segmentation
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
self-driving-car-nd
Udacity's Self-Driving Car Nanodegree project files and notes.
SRGAN-tensorflow
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
SSD-Tensorflow
Single Shot MultiBox Detector in TensorFlow
tf-3dgan
Tensorflow implementation of 3D Generative Adversarial Network.
tf-faster-rcnn
Tensorflow Faster RCNN for Object Detection
tf-image-segmentation
Image Segmentation framework based on Tensorflow and TF-Slim library
tf-pose-estimation
Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
UnFlow
UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss