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

Attention is all you need implementation

Stable Diffusion implemented from scratch in PyTorch

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

Easy generative modeling in PyTorch

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

LLaMA 2 implemented from scratch in PyTorch

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

Important paper implementations for Question Answering using PyTorch

Implementation of character based convolutional neural network

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

推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.

Tensorflow implementation of Neural Scene Representation and Rendering

Algorithm implementation for my Edge Computing-related papers.