Single Image Random Dot Stereogram for Tensorflow

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Deep Learningpythontensorflowjupyter-notebook3d-reconstructionstereogram-generatorstereogram-creator
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Greg Peatfield
Greg Peatfield
GitHub Repository
Run Effective Large Batch Contrastive Learning on Limited Memory GPU

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codes for IKM (arXiv2021, Submitted to IEEE Trans)

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Implementation of the method proposed in the paper "Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation"

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TensorFlow CNN for fast style transfer

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Flow is a computational framework for deep RL and control experiments for traffic microsimulation.

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Preparation material for Dropbox interviews

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CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

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Su Pang 254 Dec 16, 2022
data/code repository of "C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer"

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Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

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Code for Paper: Self-supervised Learning of Motion Capture

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This repository contains the files for running the Patchify GUI.

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ADB-IP-ROTATION - Use your mobile phone to gain a temporary IP address using ADB and data tethering

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Migration of Edge-based Distributed Federated Learning

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A PyTorch-based library for fast prototyping and sharing of deep neural network models.

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78 Jan 03, 2023
MiniSom is a minimalistic implementation of the Self Organizing Maps

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Official implementation of the ICCV 2021 paper "Joint Inductive and Transductive Learning for Video Object Segmentation"

JOINT This is the official implementation of Joint Inductive and Transductive learning for Video Object Segmentation, to appear in ICCV 2021. @inproce

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PyTorch implementation of our ICCV paper DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection.

Introduction This repo contains the official PyTorch implementation of our ICCV paper DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection. Up

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MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

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Microsoft 5.7k Jan 09, 2023
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations

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Yu Meng 63 Dec 18, 2022