collection of utilities to use with deep learning libraries (e.g. caffe)

Repository of my fashion-parsing project. This project is put on hold since I am doing another project now, but will debug if bugs are reported.

convert between pytorch, caffe prototxt/weights and darknet cfg/weights

This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.

Self Maintained Caffe. In this version Faster-RCNN, RFCN needs layer are fully supported!

The repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and work with the Notebooks and other files.

🏭 Collaboratively build, visualize, and design neural nets in browser

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Convert Darknet model to Caffe's

Convert a matcaffe model (column major) to a pycaffe or c++ caffe (row major) model

convert model from mxnet to caffe without lossing precision

Paperspace API for python

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

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

Active Convolution

Training Toolbox for Caffe

A deep convolutional neural network system for live emotion detection