KIDA: Knowledge Inheritance in Data Aggregation
This project releases our 1st place solution on NeurIPS2021 ML4CO Dual Task.
Slide and model weights are available.
Paper and training code will be released soon.
This project releases our 1st place solution on NeurIPS2021 ML4CO Dual Task.
Slide and model weights are available.
Paper and training code will be released soon.
CLIP [Blog] [Paper] [Model Card] [Colab] CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pair
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tch-rs Rust bindings for the C++ api of PyTorch. The goal of the tch crate is to provide some thin wrappers around the C++ PyTorch api (a.k.a. libtorc
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CoCosNet Pytorch Implementation of the paper "Cross-domain Correspondence Learning for Exemplar-based Image Translation" (CVPR 2020 oral). Update: 202
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