Pinned Repositories
autonn
A fast and expressive Matlab/MatConvNet deep learning API, with native automatic differentiation
caffe
Caffe: a fast open framework for deep learning.
caffe-tools
Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.
COVID19_imaging_AI_paper_list
COVID-19 imaging-based AI paper collection
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
focal-loss
Focal loss for Dense Object Detection
kashiani.github.io
Welcome to my homepage https://kashiani.github.io
matconvnet-contrib
MatConvNet contributions
Paper-Reading-Record-in-Computer-Vision
I make this repo to record the papers I read every day and organize them better.
kashiani's Repositories
kashiani/Paper-Reading-Record-in-Computer-Vision
I make this repo to record the papers I read every day and organize them better.
kashiani/matconvnet-contrib
MatConvNet contributions
kashiani/autonn
A fast and expressive Matlab/MatConvNet deep learning API, with native automatic differentiation
kashiani/caffe
Caffe: a fast open framework for deep learning.
kashiani/caffe-tools
Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.
kashiani/COVID19_imaging_AI_paper_list
COVID-19 imaging-based AI paper collection
kashiani/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
kashiani/focal-loss
Focal loss for Dense Object Detection
kashiani/kashiani.github.io
Welcome to my homepage https://kashiani.github.io
kashiani/matconvnet
MatConvNet: CNNs for MATLAB
kashiani/MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation