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""

an incremental approach to compiler construction

Generative Adversarial Networks implemented in PyTorch and Tensorflow

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

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

Easy generative modeling in PyTorch.

Attention is all you need implementation

Stable Diffusion implemented from scratch in PyTorch

Important paper implementations for Question Answering using PyTorch

Implementation of character based convolutional neural network

Algorithm implementation for my Edge Computing-related papers.

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

[ICLR2024] Official repo for paper "PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code"

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

ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining