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bllip-parser

BLLIP reranking parser (also known as Charniak-Johnson parser, Charniak parser, Brown reranking parser) See http://pypi.python.org/pypi/bllipparser/ for Python module.

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

caffe

Caffe: a fast open framework for deep learning.

cam

Class Activation Mapping

cognitive-radio-system-upload

demo_dffn

The code implementation of our paper "Hyperspectral Image Classification With Deep Feature Fusion Network", TGRS, 2018.

flickr30k_entities

Flickr30K Entities Dataset

googlecode

Google Code Jam

grad-cam-tensorflow

tensorflow implementation of Grad-CAM (CNN visualization)

models

Models and examples built with TensorFlow

multiple-instance-learning

objectnet-template-pytorch

baseline mode for the ObjectNet competition

pcanet

Implementation of https://arxiv.org/pdf/1404.3606.pdf in Tensorflow

pcanet-1

A Python implementation of PCANet https://arxiv.org/abs/1404.3606

picie

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

pu-tf-faster-rcnn

positive unlabeled loss faster rcnn

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

rl-cmps590

Course project

semanticcnn

sentiment-analysis

Text sentiment anaylsis

sentiment_analysis

Working with sentiment analysis.

show-attend-and-tell

TensorFlow Implementation of "Show, Attend and Tell"

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

ssd-tensorflow-1

A Single Shot MultiBox Detector in TensorFlow

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

ssd.tensorflow

State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow

su_classification

Implementation for "Classification from Pairwise Similarity and Unlabeled Data"

syndata-generation

Code used to generate synthetic scenes for Cut, Paste and Learn paper

tensorflow

tensorflow-1

Computation using data flow graphs for scalable machine learning