paper-implementations

A Collection of Variational Autoencoders (VAE) in PyTorch.

[CVPR2020] Adversarial Latent Autoencoders

an incremental approach to compiler construction

Generative Adversarial Networks implemented in PyTorch and Tensorflow

TensorFlow implementation of Independently Recurrent Neural Networks

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.

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

Easy generative modeling in PyTorch.

Important paper implementations for Question Answering using PyTorch

Implementation of character based convolutional neural network

Tensorflow implementation of Neural Scene Representation and Rendering

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

Simulation of algorithms for Edge Computing-related papers.

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

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

explorations in core.logic

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

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

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