DeepCoDA

deep learning for image processing including classification and object-detection etc.

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

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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.

An open-source, low-code machine learning library in Python

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

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

All-in-One Development Tool based on PaddlePaddle（飞桨低代码开发工具）

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

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation