A Collection of Variational Autoencoders (VAE) in PyTorch.
-
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""
Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization
Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.
TensorFlow implementation of Independently Recurrent Neural Networks
Easy generative modeling in PyTorch.
Implementation of character based convolutional neural network
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
Tensorflow implementation of Neural Scene Representation and Rendering
Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining
LLaMA 2 implemented from scratch in PyTorch
Plant Disease Identification Using Convulutional Neural Network
pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831
Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)
推荐系统论文算法实现,包括序列推荐,多任务学习,元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.
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.
Add a description, image, and links to the paper-implementations topic page so that developers can more easily learn about it.
To associate your repository with the paper-implementations topic, visit your repo's landing page and select "manage topics."