Code for 'Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning' (AAAI 2022)

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This is the offical website for paper ''Category-consistent deep network learning for accurate vehicle logo recognition''

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Human4D Dataset tools for processing and visualization

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This is our ARTS test set, an enriched test set to probe Aspect Robustness of ABSA.

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LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.

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This is the pytorch code for the paper Curious Representation Learning for Embodied Intelligence.

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Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

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MIT Graphics Group 65 Jan 07, 2023
Unofficial implementation of Alias-Free Generative Adversarial Networks. (https://arxiv.org/abs/2106.12423) in PyTorch

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Repository For Programmers Seeking a platform to show their skills

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TimeSHAP explains Recurrent Neural Network predictions.

TimeSHAP TimeSHAP is a model-agnostic, recurrent explainer that builds upon KernelSHAP and extends it to the sequential domain. TimeSHAP computes even

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GAN-based Matrix Factorization for Recommender Systems

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Code for A Volumetric Transformer for Accurate 3D Tumor Segmentation

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CIFAR-10 Photo Classification

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Realtime micro-expression recognition using OpenCV and PyTorch

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Simple keras FCN Encoder/Decoder model for MS-COCO (food subset) segmentation

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ElasticFace: Elastic Margin Loss for Deep Face Recognition

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Deeply Supervised, Layer-wise Prediction-aware (DSLP) Transformer for Non-autoregressive Neural Machine Translation

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ManiSkill-Learn is a framework for training agents on SAPIEN Open-Source Manipulation Skill Challenge (ManiSkill Challenge), a large-scale learning-from-demonstrations benchmark for object manipulation.

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Hao Su's Lab, UCSD 48 Dec 30, 2022