paper-implementations

[CVPR2020] Adversarial Latent Autoencoders

A Collection of Variational Autoencoders (VAE) in PyTorch.

an incremental approach to compiler construction

Generative Adversarial Networks implemented in PyTorch and Tensorflow

TensorFlow implementation of Independently Recurrent Neural Networks

Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

Easy generative modeling in PyTorch.

Implementation of character based convolutional neural network

Important paper implementations for Question Answering using PyTorch

Tensorflow implementation of Neural Scene Representation and Rendering

Author's implementation of SoftCon: Simulation and Control of Soft-Bodied Animals with Biomimetic Actuators (SIGGRAPH Asia 2019 Technical Paper)

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

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

Simulation of algorithms for Edge Computing-related papers.

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

explorations in core.logic

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

Share some recent speaker recognition papers and their implementations.

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

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

In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.

This code is to implement the IndRNN.

A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch

Plant Disease Identification Using Convulutional Neural Network

Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforcement Learn".

Is This a Joke? Humor Detection in Spanish Tweets

PyTorch implementation of relation extraction via convolutional neural network with multi-size convolution kernels.

Image inpainting via dictionary learning and sparse representation.