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guoxiaopolu's Projects

ademxapp icon ademxapp

Code for https://arxiv.org/abs/1611.10080

autohome-carwler icon autohome-carwler

一个爬虫,它能爬取汽车之家网站上13个国家的所有汽车信息,还能生成一个易于归类为Excel的TxT文档

biggan-pytorch icon biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

cs224d icon cs224d

The answer of Stanford cs224d course assignments

detectron2 icon detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

eos icon eos

A lightweight 3D Morphable Face Model fitting library in modern C++14

face3d icon face3d

Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

keras icon keras

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

kmcuda icon kmcuda

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

models icon models

Models and examples built with TensorFlow

mus490 icon mus490

Music 490 Intensive Major Project. Accompanies thesis: "Unsupervised, Auto K-Means Audio Clustering using Dynamic Weight Selection"

mxnet_pose_for_ai_challenger icon mxnet_pose_for_ai_challenger

Implementation of "Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields" for AI challenger keypoint competition

nerf-pytorch icon nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

prnet icon prnet

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

proxylessnas icon proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.

randwirenn icon randwirenn

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

stylegan2 icon stylegan2

StyleGAN2 - Official TensorFlow Implementation

stylegan2-pytorch icon stylegan2-pytorch

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

super-convergence icon super-convergence

Files to create the figures in the paper "Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates"

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