Showing 1-5 of 5 projects
Fast C++ inference engine for Transformer models, supporting CUDA, MKL, and other optimizations.
A PyTorch library for counting the number of floating-point operations (FLOPs) in neural networks.
TransGAN is a Python implementation of a GAN model using two pure transformers, suitable for vibe coders and AI tool developers.
A library of self-supervised methods for visual representation learning powered by PyTorch Lightning.
A curated list of foundation models for vision and language tasks, useful for vibe coders building AI-powered applications.
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