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Chaitanya's Projects

psgan icon psgan

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

pti icon pti

Official Implementation for "Pivotal Tuning for Latent-based editing of Real Images" https://arxiv.org/abs/2106.05744

purpletag icon purpletag

Calculate political polarization scores for members of U.S. Congress based on their tweets

py-pdf-parser icon py-pdf-parser

A Python tool to help extracting information from structured PDFs.

pydbpedia icon pydbpedia

A simple python wrapper for querying DBpedia

pypaperbot icon pypaperbot

PyPaperBot is a Python tool for downloading scientific papers using Google Scholar, Crossref, and SciHub.

pyresparser icon pyresparser

A simple resume parser used for extracting information from resumes

pysentimiento icon pysentimiento

A Python multilingual toolkit for Sentiment Analysis and Social NLP tasks

python icon python

All Algorithms implemented in Python

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-gat icon pytorch-gat

My implementation of the original GAT paper (Veličković et al.). Jupyter Notebook coming soon and an inductive example as well. I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings and attention mechanism.

pytorch-handbook icon pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-psetae icon pytorch-psetae

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

pytorch-srresnet icon pytorch-srresnet

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

qa-rankit icon qa-rankit

QA - Answer Selection (Rank candidate answers for a given question)

qlib icon qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

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