starter from "How to Train a GAN?" at NIPS2016

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Chatbot implementation using Cornell Movie Dialog Dataset in PyTorch.The bot can converse with the user and can answer the questions asked though it doesn't pass the Turing Test

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

Feedforward style transfer

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch