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Instagram Account Creator 2024 - Not Maintained
An open source framework for seq2seq models in PyTorch.
This is my CS 763 Computer Vision Course Project , Here we try to label Amazon Satelite Images. Here we try to implement the Show and Tell Image Captioning Paper .
Pytorch implementation of three Multiple Instance Learning or Multi-classification papers
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
PyTorch implementations of Generative Adversarial Networks.
VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Deep universal probabilistic programming with Python and PyTorch
Implementation of Fast ml-CCA from the ICCV-2015 work "Multi-Label Cross-Modal Retrieval"
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Implementations of various VAE-based semi-supervised and generative models in PyTorch
PyTorch Tutorial for Deep Learning Researchers
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
Variational autoencoder for single cell RNA-seq datasets
Canonical Correlation Analysis, Variational CCA
Python implementation of Kernel Canonical Correlation Analysis
Variational autoencoders for collaborative filtering
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Seminars DeepBayes Summer School 2018
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
A system for quickly generating training data with weak supervision