Pinned Repositories
2D-Positional-Encoding-Vision-Transformer
PyTorch implementation of 2D Positional Encodings for Vision Transformers (ViT). Positional Encodings/Embeddings: Sinusoidal (Absolute), Learnable, Relative and Rotation (Rope).
Find-Duplicate-Photos-Video
Python code to find duplicate images (photos) and videos in folders recursively and delete them (Optional).
Glocal
Official PyTorch Implementation of Glocal Alignment for Unsupervised Domain Adaptation
LSPP
Official PyTorch Implementation of Label Smoothing++: Enhanced Label Regularization for Training Neural Networks.
PatchRot
Official Pytorch Implementation of PatchRot: PatchRot: Self-Supervised Training of Vision Transformers by Rotation Prediction
PatchSwap
Official Pytorch code for PatchSwap: A Regularization Technique for Vision Transformers
PyTorch-DANN
Unofficial PyTorch implementation of Domain-Adversarial Training of Neural Networks
PyTorch-GANs
From scratch, simple and easy-to-understand Pytorch implementation of various generative adversarial network (GAN): GAN, DCGAN, Conditional GAN (cGAN), WGAN, WGAN-GP, CycleGAN, LSGAN, and StarGAN.
PyTorch-Scratch-LLM
Simple and easy to understand PyTorch implementation of Large Language Model (LLM) GPT and LLAMA from scratch with detailed steps. Implemented: Byte-Pair Tokenizer, Rotational Positional Embedding (RoPe), SwishGLU, RMSNorm, Mixture of Experts (MOE). Tested on Taylor Swift song lyrics dataset.
PyTorch-Scratch-Vision-Transformer-ViT
Simple and easy to understand PyTorch implementation of Vision Transformer (ViT) from scratch, with detailed steps. Tested on common datasets like MNIST, CIFAR10, and more.
s-chh's Repositories
s-chh/PyTorch-Scratch-Vision-Transformer-ViT
Simple and easy to understand PyTorch implementation of Vision Transformer (ViT) from scratch, with detailed steps. Tested on common datasets like MNIST, CIFAR10, and more.
s-chh/PyTorch-GANs
From scratch, simple and easy-to-understand Pytorch implementation of various generative adversarial network (GAN): GAN, DCGAN, Conditional GAN (cGAN), WGAN, WGAN-GP, CycleGAN, LSGAN, and StarGAN.
s-chh/Find-Duplicate-Photos-Video
Python code to find duplicate images (photos) and videos in folders recursively and delete them (Optional).
s-chh/2D-Positional-Encoding-Vision-Transformer
PyTorch implementation of 2D Positional Encodings for Vision Transformers (ViT). Positional Encodings/Embeddings: Sinusoidal (Absolute), Learnable, Relative and Rotation (Rope).
s-chh/PatchSwap
Official Pytorch code for PatchSwap: A Regularization Technique for Vision Transformers
s-chh/PyTorch-DANN
Unofficial PyTorch implementation of Domain-Adversarial Training of Neural Networks
s-chh/Glocal
Official PyTorch Implementation of Glocal Alignment for Unsupervised Domain Adaptation
s-chh/LSPP
Official PyTorch Implementation of Label Smoothing++: Enhanced Label Regularization for Training Neural Networks.
s-chh/PatchRot
Official Pytorch Implementation of PatchRot: PatchRot: Self-Supervised Training of Vision Transformers by Rotation Prediction
s-chh/PyTorch-Scratch-LLM
Simple and easy to understand PyTorch implementation of Large Language Model (LLM) GPT and LLAMA from scratch with detailed steps. Implemented: Byte-Pair Tokenizer, Rotational Positional Embedding (RoPe), SwishGLU, RMSNorm, Mixture of Experts (MOE). Tested on Taylor Swift song lyrics dataset.
s-chh/Pytorch-NST
Pytorch implementation of Neural Style Transfer