A Collection of Variational Autoencoders (VAE) in PyTorch.

[CVPR2020] Adversarial Latent Autoencoders

Attention is all you need implementation

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""

Stable Diffusion implemented from scratch in PyTorch

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

TensorFlow implementation of Independently Recurrent Neural Networks

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

an incremental approach to compiler construction

Easy generative modeling in PyTorch

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

LLaMA 2 implemented from scratch in PyTorch

Algorithm implementation for my Edge Computing-related papers.

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

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]

Important paper implementations for Question Answering using PyTorch

Tensorflow implementation of Neural Scene Representation and Rendering