paper-implementations

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

Attention is all you need implementation

Stable Diffusion implemented from scratch in PyTorch

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

Easy generative modeling in PyTorch

From-scratch PyTorch replications of classic and SOTA AI/ML papers: transformers, attention, GANs, diffusion, CLIP, LoRA, MoE and more, with reproducible training code.

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

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

LLaMA 2 implemented from scratch in PyTorch

Plant Disease Identification Using Convulutional Neural Network

Important paper implementations for Question Answering using PyTorch

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.

Implementation of character based convolutional neural network

Tensorflow implementation of Neural Scene Representation and Rendering