gaimjkp Goto Github PK

backdoor-learning-resources

A curated list of backdoor learning resources

basicsr

Basic Super-Resolution Toolbox, including SRResNet, SRGAN, ESRGAN, etc.

bdrar

Code for the ECCV 2018 paper "Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection"

bellerophon

Bellerophont is a genetic optimization tools thinking for Approximate Computing (AC). It is thinked for use in collaboration with clang-Chimera. clang-Chimera provide to code mutation and Bellerophon use Genetic Algorithm for found the Pareto-front of possible approximation.

benchmarking-gnns

Repository for benchmarking graph neural networks

benchmarking-keras-pytorch

Reproducible Benchmarking of Keras and PyTorch Models

benchmarks

A benchmark framework for Tensorflow

big_data

The project deals on how to perform Spatio-temporal hot-spot analysis using Apache Spark.

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

binarynet-1

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

bioinformatics-with-python-cookbook-second-edition

Bioinformatics with Python Cookbook Second Edition, published by Packt

blendmask-tutorial

boobs

Boobs - YOLO BBox Annotation Tool

book_python_gis

Source codes in Python for book 'Python in Open Source GIS'.

bspl-fc

Balanced Self-Paced Learning with Feature Corruption

caffe-icnm

Caffe for CVPR 2016 paper on learning from Noisy Labels

cag_uda

(NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

cao-keras-visualization

Neural network visualization tool after an optional model compression with parameter pruning: (integrated) gradients, guided/visual backpropagation, activation maps for the cao model on the IndianPines dataset

capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

carl

BDD Minimization for Approximate Computing

cartesian

An implementation of Cartesian Genetic Programming in R

cartesiangeneticprogramming

an implementation of cartesian genetic programming with an application to artificial neural networks

cartgp

Python/C++ library implementing Cartesian Genetic Programming

cat-vs.-dog-classifier

Image Classifier with Flask and Keras CNN

ccnet

CCNet: Criss-Cross Attention for Semantic Segmentation (ICCV 2019).

ccnns

The code used in my thesis - "On Complex Valued Convolutional Neural Networks" - https://arxiv.org/abs/1602.09046

ccsa

"Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)

ccsa_pytorch

PyTorch implementation of CCSA("Unified Deep Supervised Domain Adaptation and Generalization")

cdrtr

Review-Aware Cross Domain Product Recommendation