A Collection of Variational Autoencoders (VAE) in PyTorch.

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

[CVPR2020] Adversarial Latent Autoencoders

an incremental approach to compiler construction

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Attention is all you need implementation

Stable Diffusion implemented from scratch in PyTorch

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

Easy generative modeling in PyTorch

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

Important paper implementations for Question Answering using PyTorch

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

Implementation of character based convolutional neural network

LLaMA 2 implemented from scratch in PyTorch

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

ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining