Winne2GO's repositories

w2vv_py35_keras_tensorflow

transfer the py2-version repository w2vv (official code https://github.com/danieljf24/w2vv) to py3-version code and test on Windows 10

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denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

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pytorch_practices

notes of pytorch practices in experiments

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a-PyTorch-Tutorial-to-Image-Captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

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Faster-R-CNN-with-model-pretrained-on-Visual-Genome

Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101

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grounded-video-description

Video Grounding and Captioning

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ImageCaptioning.pytorch

I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch for archive)

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infomax

extract features by maximizing mutual information

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machine-learning-uiuc

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

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maps

Python implementation of "MAPS: Multiresolution Adaptive Parameterization of Surfaces"

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MasterProject

Code voor mijn Master project omtrent VideoBERT

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minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

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nerf_pl

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

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NeuS

Code release for NeuS

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Pytorch-NCE

The Noise Contrastive Estimation for softmax output written in Pytorch

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Revisiting_Deep_Metric_Learning_PyTorch

(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in this field.

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sfm-mvs

Structure from Motion (SfM)

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siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

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slambook2

edition 2 of the slambook

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stanford-shapenet-renderer

Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.

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tensorflow-triplet-loss

Implementation of triplet loss in TensorFlow

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Tune-A-Video

Unofficial implementation of Tune-A-Video

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variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

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vgg_loss

A VGG-based perceptual loss function for PyTorch.

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VideoCaptioning_att

A video captioning tool using S2VT method and attention mechanism (TensorFlow)

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