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.

Easy generative modeling in PyTorch

Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization

LLaMA 2 implemented from scratch in PyTorch

Plant Disease Identification Using Convulutional Neural Network

Implementation of character based convolutional neural network

Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]

Tensorflow implementation of Neural Scene Representation and Rendering

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831

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.

This code is to implement the IndRNN.

Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."

A PyTorch implementation of SRNTT, which is a novel RefSR method.

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