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
Simple, but essential Bayesian optimization package
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A Peer-to-peer Platform for Secure, Privacy-preserving, Decentralized Data Science
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Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
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Benchmark for evaluating open-ended generation
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[NeurIPS '21] Adversarial Attacks on Graph Classification via Bayesian Optimisation (GRABNEL)
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Analyzes your GitHub Profile and presents you with a report on how likely you are to become the next MLH Fellow!
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v objective diffusion inference code for PyTorch.
v-diffusion-pytorch v objective diffusion inference code for PyTorch, by Katherine Crowson (@RiversHaveWings) and Chainbreakers AI (@jd_pressman). The
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A library for finding knowledge neurons in pretrained transformer models.
knowledge-neurons An open source repository replicating the 2021 paper Knowledge Neurons in Pretrained Transformers by Dai et al., and extending the t
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IsoGCN code for ICLR2021
IsoGCN The official implementation of IsoGCN, presented in the ICLR2021 paper Isometric Transformation Invariant and Equivariant Graph Convolutional N
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Attendance Monitoring with Face Recognition using Python
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Attention-driven Robot Manipulation (ARM) which includes Q-attention
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Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).
Microsoft365_devicePhish Abusing Microsoft 365 OAuth Authorization Flow for Phishing Attack This is a simple proof-of-concept script that allows an at
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This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
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Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)
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A implemetation of the LRCN in mxnet
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Code for the paper "On the Power of Edge Independent Graph Models"
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The final project of "Applying AI to 3D Medical Imaging Data" from "AI for Healthcare" nanodegree - Udacity.
Quantifying Hippocampus Volume for Alzheimer's Progression Background Alzheimer's disease (AD) is a progressive neurodegenerative disorder that result
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Rule based classification A hotel s customers dataset
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Code for the paper "Adversarial Generator-Encoder Networks"
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[CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
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