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
An end-to-end image translation model with weight-map for color constancy

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This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is accepted to ICCV2021.

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Libraries, tools and tasks created and used at DeepMind Robotics.

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Latte: Cross-framework Python Package for Evaluation of Latent-based Generative Models

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TEDSummary is a speech summary corpus. It includes TED talks subtitle (Document), Title-Detail (Summary), speaker name (Meta info), MP4 URL, and utterance id

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This is the source code for our ICLR2021 paper: Adaptive Universal Generalized PageRank Graph Neural Network.

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Text2Art is an AI art generator powered with VQGAN + CLIP and CLIPDrawer models

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Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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The code used for the free [email protected] Webinar series on Reinforcement Learning in Finance

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Implementation of Research Paper "Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation"

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An implementation of "Optimal Textures: Fast and Robust Texture Synthesis and Style Transfer through Optimal Transport"

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A full pipeline AutoML tool for tabular data

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CSAC - Collaborative Semantic Aggregation and Calibration for Separated Domain Generalization

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Deploy recommendation engines with Edge Computing

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Subgraph Based Learning of Contextual Embedding

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