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Amanda Ye's Projects

1806 icon 1806

18.06 course at MIT in Spring 2017

c5 icon c5

Reference code for the paper "Cross-Camera Convolutional Color Constancy" (ICCV 2021)

dasiamrpn icon dasiamrpn

Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

facenet-pytorch-vggface2 icon facenet-pytorch-vggface2

A PyTorch implementation of Google's FaceNet [1] paper for training a facial recognition model with Triplet Loss and an implementation of the Shenzhen Institutes of Advanced Technology's 'Center Loss' [2] combined with Cross Entropy Loss using the VGGFace2 dataset. A pre-trained model using Triplet Loss is available for download.

fc4 icon fc4

Code and resources for "FC4 : Fully Convolutional Color Constancy with Confidence-weighted Pooling" (CVPR 2017)

goturn icon goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

imutils icon imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

keras icon keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

meglass icon meglass

An eyeglass face dataset collected and cleaned for face recognition evaluation, CCBR 2018.

models icon models

Models and examples built with TensorFlow

mxnet icon mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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