Starred repositories
Sanitize untrusted HTML (to prevent XSS) with a configuration specified by a Whitelist
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.
Person re-identification MGN model based on tensorflow
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.
ASU-Net: Attention to Scale with U-Net for Semantic Segmentation (Implemented with TensorFlow)
Lending Orientation to Neural Networks for Cross-view Geo-localization
Person Re-ranking (CVPR 2017)
keras implementation of [A simple neural network module for relational reasoning](https://arxiv.org/pdf/1706.01427.pdf)
TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification
Face recognition with deep neural networks.
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
Code for our 3DV18 paper -- "Generative Adversarial Frontal View to Bird View Synthesis"
AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world. https://challenger.ai/
A Tensorflow implementation of Spatial Transformer Networks.
🐝Tensorflow Implementation of Spatial Transformer Networks
Context Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation …
Tensorflow implementation of Stacked Hourglass Networks for Human Pose Estimation
Keras implementation of ShuffleNet V2
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Tensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.
Code for https://arxiv.org/abs/1703.05693
Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm