GroundeR

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

VIP cheatsheets for Stanford's CS 229 Machine Learning

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 curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Anomaly detection related books, papers, videos, and toolboxes

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

A concise but complete full-attention transformer with a set of promising experimental features from various papers

A library of extension and helper modules for Python's data analysis and machine learning libraries.

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Graph Attention Networks (https://arxiv.org/abs/1710.10903)