Yifan Jiang's repositories
sppnet-pytorch
A simple Spatial Pyramid Pooling layer which could be added in CNN
Pedestrian-Synthesis-GAN
Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Basketball-Game-Prediction
Use deep neural network to predict basketball game
ClassyVision
An end-to-end PyTorch framework for image and video classification
academic-kickstart-1
Easily create a beautiful website using Academic and Hugo
awesome-NeRF
A curated list of awesome neural radiance fields papers
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
PyTorch code and models for the DINOv2 self-supervised learning method.
dynamic-video-depth
Code for the SIGGRAPH 2021 paper "Consistent Depth of Moving Objects in Video".
hw-ruby-intro
Ruby Introduction Assignment for Agile Development using Ruby on Rails
minimal-mistakes
:triangular_ruler: Jekyll theme for personal sites, blogs, and portfolios. Two-columns and extremely flexible.
PaintTransformer
Homepage of paper: Paint Transformer: Feed Forward Neural Painting with Stroke Prediction, ICCV 2021.
pix2pix-tensorflow
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
PurchasePrediction
2017 Seedcup Semi-final Competition
pytorch-MNIST-CelebA-GAN-DCGAN
Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
rottenpotatoes-rails-intro
RottenPotatoes app skeleton for saasbook/hw-rails-intro
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)