Compact-Global-Descriptor

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

A High-Quality Real Time Upscaler for Anime Video

? GPU accelerated Neural networks in JavaScript for Browsers and Node.js

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

A MNIST-like fashion product database. Benchmark :point_down:

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

VIP cheatsheets for Stanford's CS 230 Deep Learning

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch