The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

This repository contains demos I made with the Transformers library by HuggingFace.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

ONNXim is a fast cycle-level simulator that can model multi-core NPUs for DNN inference

NeuPIMs Simulator

Learning FPGA, yosys, nextpnr, and RISC-V

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

Transformer: PyTorch Implementation of "Attention Is All You Need"

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

Samples for CUDA Developers which demonstrates features in CUDA Toolkit