A Collection of Variational Autoencoders (VAE) in PyTorch.
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Updated
Jun 13, 2024 - Python
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
Attention is all you need implementation
Stable Diffusion implemented from scratch in PyTorch
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
Implementation of character based convolutional neural network
[ICLR2024] Official repo for paper "PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code"
LLaMA 2 implemented from scratch in PyTorch
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
Algorithm implementation for my Edge Computing-related papers.
Tensorflow implementation of Neural Scene Representation and Rendering
ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining
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