A Collection of Variational Autoencoders (VAE) in PyTorch.
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Updated
May 6, 2024 - Python
A Collection of Variational Autoencoders (VAE) in PyTorch.
[CVPR2020] Adversarial Latent Autoencoders
Generative Adversarial Networks implemented in PyTorch and Tensorflow
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""
Attention is all you need implementation
📃 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
Stable Diffusion implemented from scratch in PyTorch
Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization
Easy generative modeling in PyTorch.
Algorithm implementation for my Edge Computing-related papers.
Implementation of character based convolutional neural network
In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).
Important paper implementations for Question Answering using PyTorch
Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
Plant Disease Identification Using Convulutional Neural Network
Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)
LLaMA 2 implemented from scratch in PyTorch
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