Memory In Memory Networks
It is based on the paper Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics to be presented at CVPR 2019. Official Repo
PyTorch Code of "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics"
Overview
This is an official implementation for "PlaneRecNet".
PlaneRecNet This is an official implementation for PlaneRecNet: A multi-task convolutional neural network provides instance segmentation for piece-wis
50 Nov 17, 2022
StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
StyleGAN2 with adaptive discriminator augmentation (ADA) — Official TensorFlow implementation Training Generative Adversarial Networks with Limited Da
1.7k Dec 29, 2022
Code for our paper "Interactive Analysis of CNN Robustness"
Perturber Code for our paper "Interactive Analysis of CNN Robustness" Datasets Feature visualizations: Google Drive Fine-tuning checkpoints as saved m
0 Aug 17, 2021
Deep deconfounded recommender (Deep-Deconf) for paper "Deep causal reasoning for recommendations"
Deep Causal Reasoning for Recommender Systems The codes are associated with the following paper: Deep Causal Reasoning for Recommendations, Yaochen Zh
22 Oct 15, 2022
Deploy a ML inference service on a budget in less than 10 lines of code.
BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end.
1.3k Dec 25, 2022
Mall-Customers-Segmentation - Customer Segmentation Using K-Means Clustering
Overview Customer Segmentation is one the most important applications of unsupervised learning. Using clustering techniques, companies can identify th
2 Jan 03, 2022
Everything's Talkin': Pareidolia Face Reenactment (CVPR2021)
Everything's Talkin': Pareidolia Face Reenactment (CVPR2021) Linsen Song, Wayne Wu, Chaoyou Fu, Chen Qian, Chen Change Loy, and Ran He [Paper], [Video
71 Dec 21, 2022
Rethinking Transformer-based Set Prediction for Object Detection
Rethinking Transformer-based Set Prediction for Object Detection Here are the code for the ICCV paper. The code is adapted from Detectron2 and AdelaiD
62 Dec 03, 2022
This is the official code release for the paper Shape and Material Capture at Home
This is the official code release for the paper Shape and Material Capture at Home. The code enables you to reconstruct a 3D mesh and Cook-Torrance BRDF from one or more images captured with a flashl
89 Dec 10, 2022
MaskTrackRCNN for video instance segmentation based on mmdetection
MaskTrackRCNN for video instance segmentation Introduction This repo serves as the official code release of the MaskTrackRCNN model for video instance
411 Jan 05, 2023
Official code release for: EditGAN: High-Precision Semantic Image Editing
Official code release for: EditGAN: High-Precision Semantic Image Editing
565 Jan 05, 2023
This repository contains an implementation of ConvMixer for the ICLR 2022 submission "Patches Are All You Need?".
Patches Are All You Need? 🤷 This repository contains an implementation of ConvMixer for the ICLR 2022 submission "Patches Are All You Need?". Code ov
934 Dec 30, 2022
This is the implementation of GGHL (A General Gaussian Heatmap Labeling for Arbitrary-Oriented Object Detection)
GGHL: A General Gaussian Heatmap Labeling for Arbitrary-Oriented Object Detection This is the implementation of GGHL 👋 👋 👋 [Arxiv] [Google Drive][B
551 Dec 31, 2022
Pytorch implementation for the Temporal and Object Quantification Networks (TOQ-Nets).
TOQ-Nets-PyTorch-Release Pytorch implementation for the Temporal and Object Quantification Networks (TOQ-Nets). Temporal and Object Quantification Net
9 Jun 30, 2022
Decision Transformer: A brand new Offline RL Pattern
DecisionTransformer_StepbyStep Intro Decision Transformer: A brand new Offline RL Pattern. 这是关于NeurIPS 2021 热门论文Decision Transformer的复现。 👍 原文地址: Deci
14 Nov 22, 2022
This provides the R code and data to replicate results in "The USS Trustee’s risky strategy"
USSBriefs2021 This provides the R code and data to replicate results in "The USS Trustee’s risky strategy" by Neil M Davies, Jackie Grant and Chin Yan
1 Oct 30, 2021
Data Engineering ZoomCamp
Data Engineering ZoomCamp I'm partaking in a Data Engineering Bootcamp / Zoomcamp and will be tracking my progress here. I can't promise these notes w
61 Jan 06, 2023
A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)
A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)
65 Dec 19, 2022
A modular active learning framework for Python
Modular Active Learning framework for Python3 Page contents Introduction Active learning from bird's-eye view modAL in action From zero to one in a fe
1.9k Dec 31, 2022
U-Net Implementation: Convolutional Networks for Biomedical Image Segmentation" using the Carvana Image Masking Dataset in PyTorch
U-Net Implementation By Christopher Ley This is my interpretation and implementation of the famous paper "U-Net: Convolutional Networks for Biomedical
1 Jan 06, 2022