Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Natural Language Processing Tutorial for Deep Learning Researchers

PyTorch code and models for the DINOv2 self-supervised learning method.

Fast and Easy Infinite Neural Networks in Python

Practical course about Large Language Models.

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

Diffusion attentive attribution maps for interpreting Stable Diffusion.

Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression

Data visualization is the visual presentation of data or information. The goal of data visualization is to communicate data or information clearly and effectively to readers. Typically, data is vis…

[NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen and Lu Yuan