Implementation of Bottleneck Transformer, SotA visual recognition model with convolution + attention that outperforms EfficientNet and DeiT in terms of performance-computes trade-off, in Pytorch

REPP is a learning based post-processing method to improve video object detections from any object detector. REPP links detections accross frames by evaluating their similarity and refines their classification and location to supp

This is the official implementation of article "Parsing-based viewaware embedding network for vehicle ReID"[arxiv], which has been accpeted by CVPR20 as a poster article.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang

This repo is a TensorFlow implementation of our work UKPGAN. UKPGAN is an unsupervised 3D keypoint detector where keypoints are detected so that they could reconstruct the original object shape.

This is the pytorch implementation of the long paper on ACL 2020: A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction.

Deep symbolic regression (DSR) is a deep learning algorithm for symbolic regression--the task of recovering tractable mathematical expressions from an input dataset. The package dsr contains the code for DSR, including a single-po