Jenny Liang's repositories
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
coco2pascal2txt
Convert annotations of COCO format to Pascal VOC format to Yolo Darknet format
OSVOS-PyTorch
PyTorch implementation of One-Shot Video Object Segmentation (OSVOS)
mx-maskrcnn
An MXNet implementation of Mask R-CNN
tensorflow-convlstm-cell
A ConvLSTM cell with layer normalization and peepholes for TensorFlow's RNN API.
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
cnn-models
ImageNet pre-trained models with batch normalization for the Caffe framework
SDD-Utils
A couple of utilities that can be used with Stanford Drone Dataset
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
RON
RON: Reverse Connection with Objectness Prior Networks for Object Detection, CVPR 2017
models
Models and examples built with TensorFlow
flownet2
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FBP
Robust Saliency Detection via Fusing Foreground and Background Priors
OpticalFlowToolkit
Python-based optical flow toolkit for existing popular dataset
deep-residual-networks
Deep Residual Learning for Image Recognition
Focal-Loss-implement-on-Tensorflow
The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He.
AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
caffe_srgan
A Caffe Implementation of SRGAN
TF_ObjectDetection_API
Tutorial on how to create your own object detection dataset and train using TensorFlow's API
DPNs
Dual Path Networks
sequence-labeling-BiLSTM-CRF
BiLSTM-CRF joint model for tasks like sequence labeling using char/word level embeddings in Tensorflow
deep-learning-HAR
Convolutional and LSTM networks to classify human activity
noscope
Accelerating network inference over video
CAM
Class Activation Mapping
lisa-caffe-public
Lisa Anne's public caffe code.
Awesome-Caffe
Awesome Caffe
BBox-Label-Tool
A simple tool for labeling object bounding boxes in images
LabelMeAnnotationTool
Source code for the LabelMe annotation tool.
hashing-baseline-for-image-retrieval
:octocat:Various hashing methods for image retrieval and serves as the baselines