PyTorch package for the discrete VAE used for DALL·E.

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OpenAI
Facebook Research 605 Jan 02, 2023
Manifold-Mixup implementation for fastai V2

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code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022

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Optimus: the first large-scale pre-trained VAE language model

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Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering (NAACL 2021)

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Cascading Feature Extraction for Fast Point Cloud Registration (BMVC 2021)

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Pytorch implementation of PCT: Point Cloud Transformer

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Yi_Zhang 265 Dec 22, 2022
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt.

UltraOpt : Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. UltraOpt is a simple and efficient library to minimize expensive

98 Aug 16, 2022
Session-based Recommendation, CoHHN, price preferences, interest preferences, Heterogeneous Hypergraph, Co-guided Learning, SIGIR2022

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Semi-supervised learning for object detection

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Pytorch Implementation of Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations

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Learning Lightweight Low-Light Enhancement Network using Pseudo Well-Exposed Images

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ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation

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PyTorch implementation of "Dataset Knowledge Transfer for Class-Incremental Learning Without Memory" (WACV2022)

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MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.

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This is the code repository implementing the paper "TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction".

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Open source implementation of "A Self-Supervised Descriptor for Image Copy Detection" (SSCD).

A Self-Supervised Descriptor for Image Copy Detection (SSCD) This is the open-source codebase for "A Self-Supervised Descriptor for Image Copy Detecti

Meta Research 68 Jan 04, 2023
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation Official PyTorch Implementation

: We present a novel, real-time, semantic segmentation network in which the encoder both encodes and generates the parameters (weights) of the decoder. Furthermore, to allow maximal adaptivity, the w

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Multivariate Boosted TRee

Multivariate Boosted TRee What is MBTR MBTR is a python package for multivariate boosted tree regressors trained in parameter space. The package can h

SUPSI-DACD-ISAAC 61 Dec 19, 2022