A PyTorch implementation of Learning to learn by gradient descent by gradient descent

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Ilya Kostrikov
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Ilya Kostrikov
Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"

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Machine Learning Framework for Operating Systems - Brings ML to Linux kernel

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Official code for "End-to-End Optimization of Scene Layout" -- including VAE, Diff Render, SPADE for colorization (CVPR 2020 Oral)

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Rl-quickstart - Reinforcement Learning Quickstart

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LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

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Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018

UNet++: A Nested U-Net Architecture for Medical Image Segmentation UNet++ is a new general purpose image segmentation architecture for more accurate i

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Official Implementation of "Third Time's the Charm? Image and Video Editing with StyleGAN3" https://arxiv.org/abs/2201.13433

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Implementation for Shape from Polarization for Complex Scenes in the Wild

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Official implementation of the article "Unsupervised JPEG Domain Adaptation For Practical Digital Forensics"

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Attention mechanism with MNIST dataset

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YeongHyeon Park 12 Jun 10, 2022
Supervised forecasting of sequential data in Python.

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Code to use Augmented Shapiro Wilks Stopping, as well as code for the paper "Statistically Signifigant Stopping of Neural Network Training"

This codebase is being actively maintained, please create and issue if you have issues using it Basics All data files are included under losses and ea

J K Terry 32 Nov 09, 2021
Implement slightly different caffe-segnet in tensorflow

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PyTorchMemTracer - Depict GPU memory footprint during DNN training of PyTorch

A Memory Tracer For PyTorch OOM is a nightmare for PyTorch users. However, most

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Material related to the Principles of Cloud Computing course.

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pytorch implementation of trDesign

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Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"

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vit for few-shot classification

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Library to enable Bayesian active learning in your research or labeling work.

Bayesian Active Learning (BaaL) BaaL is an active learning library developed at ElementAI. This repository contains techniques and reusable components

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Generating Videos with Scene Dynamics

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