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Yifan Jiang's Projects

awesome-nerf icon awesome-nerf

A curated list of awesome neural radiance fields papers

classyvision icon classyvision

An end-to-end PyTorch framework for image and video classification

csrankings icon csrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

dinov2 icon dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

examples icon examples

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

gan-mnist icon gan-mnist

Generative Adversarial Network for MNIST with tensorflow

hw-ruby-intro icon hw-ruby-intro

Ruby Introduction Assignment for Agile Development using Ruby on Rails

minimal-mistakes icon minimal-mistakes

:triangular_ruler: Jekyll theme for personal sites, blogs, and portfolios. Two-columns and extremely flexible.

nlrn icon nlrn

Code for Non-Local Recurrent Network for Image Restoration (NIPS 2018)

painttransformer icon painttransformer

Homepage of paper: Paint Transformer: Feed Forward Neural Painting with Stroke Prediction, ICCV 2021.

pix2pix-tensorflow icon pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

pytorch-mnist-celeba-gan-dcgan icon pytorch-mnist-celeba-gan-dcgan

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

resnet icon resnet

ResNet Implementation Using Tensorflow

seedcup icon seedcup

2016SeedCup,contributors:ZekangLi,MinghuaTang,YifanJiang

sppnet-pytorch icon sppnet-pytorch

A simple Spatial Pyramid Pooling layer which could be added in CNN

unit icon unit

Unsupervised Image-to-Image Translation

variational_discriminator_bottleneck icon variational_discriminator_bottleneck

Implementation (with some experimentation) of the paper titled "VARIATIONAL DISCRIMINATOR BOTTLENECK: IMPROVING IMITATION LEARNING, INVERSE RL, AND GANS BY CONSTRAINING INFORMATION FLOW" (arxiv -> https://arxiv.org/pdf/1810.00821.pdf)

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