Implementation of Neural Style Transfer in Pytorch

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Leon Gatys
Leon Gatys
Public implementation of "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression" from CoRL'21

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PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

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Attention Probe: Vision Transformer Distillation in the Wild

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BADet: Boundary-Aware 3D Object Detection from Point Clouds (Pattern Recognition 2022)

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🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

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Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".

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Temporal Segment Networks (TSN) in PyTorch

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T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time

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Code for "Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation". [AAAI 2021]

Graph Evolving Meta-Learning for Low-resource Medical Dialogue Generation Code to be further cleaned... This repo contains the code of the following p

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Deep Face Recognition in PyTorch

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Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style

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A vanilla 3D face modeling on pose-invariant and multi-lightning image data

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Chinese named entity recognization with BiLSTM using Keras

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Automate issue discovery for your projects against Lightning nightly and releases.

Automated Testing for Lightning EcoSystem Projects Automate issue discovery for your projects against Lightning nightly and releases. You get CPUs, Mu

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This is official implementaion of paper "Token Shift Transformer for Video Classification".

This is official implementaion of paper "Token Shift Transformer for Video Classification". We achieve SOTA performance 80.40% on Kinetics-400 val. Paper link

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Implementations of CNNs, RNNs, GANs, etc

Tensorflow Programs and Tutorials This repository will contain Tensorflow tutorials on a lot of the most popular deep learning concepts. It'll also co

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PromptDet: Expand Your Detector Vocabulary with Uncurated Images

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103 Dec 20, 2022
Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper

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