A Collection of Variational Autoencoders (VAE) in PyTorch.
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Updated
May 6, 2024 - Python
A Collection of Variational Autoencoders (VAE) in PyTorch.
[CVPR2020] Adversarial Latent Autoencoders
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""
TensorFlow implementation of Independently Recurrent Neural Networks
Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.
Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization
Easy generative modeling in PyTorch.
Implementation of character based convolutional neural network
Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
Plant Disease Identification Using Convulutional Neural Network
Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)
LLaMA 2 implemented from scratch in PyTorch
Tensorflow implementation of Neural Scene Representation and Rendering
pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831
Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
A PyTorch implementation of SRNTT, which is a novel RefSR method.
Share some recent speaker recognition papers and their implementations.
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
Is This a Joke? Humor Detection in Spanish Tweets
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