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jingfengrong's Projects

instant-ngp icon instant-ngp

Instant neural graphics primitives — lightning fast NeRF and more

kilonerf icon kilonerf

Code for KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs

ltsf-linear icon ltsf-linear

This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"

ners icon ners

Code for "NeRS: Neural Reflectance Surfaces for Sparse-View 3D Reconstruction in the Wild," in NeurIPS 2021

nfgp icon nfgp

Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.

pi-rec icon pi-rec

:fire: PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. :fire: 图像翻译,条件GAN,AI绘画

programming-style icon programming-style

Comprehensive collection of programming styles using a simple computational task, term frequency

scene-representation-networks icon scene-representation-networks

Official Pytorch implementation of Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

stock_cnn icon stock_cnn

Implementation of (Re-)Imag(in)ing Price Trends

stylegan3 icon stylegan3

Official PyTorch implementation of StyleGAN3

svox2 icon svox2

Plenoxels: Radiance Fields without Neural Networks, Code release WIP

tabnet icon tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

tuixue.online-visa icon tuixue.online-visa

https://tuixue.online/visa/ A Real-time Display of U.S. Visa Appointment Status Website 预约美帝签证各个签证处最早时间的爬虫

twitter_activated_crypto_trading_bot icon twitter_activated_crypto_trading_bot

Buys crypto through keyword detection in new tweets. Executes buy in 1 second and holds for a given time (e.g. Elon tweets 'doge', buys Dogecoin and sells after 5 minutes). Tested on Kraken and Binance exchanges

two-nn icon two-nn

Python3 implementation of TWO-NN algorithm for intrinsic dimension inference

vit-pytorch icon vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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