Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

mPLUG-Owl: The Powerful Multi-modal Large Language Model Family

Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Classify images offline using Watson Visual Recognition and Core ML

Official PyTorch implementation of Fully Attentional Networks

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

[ICML 2023] Official PyTorch implementation of Global Context Vision Transformers

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

📷 Visual regression test tool.

Custom Object Detection with TensorFlow

Shortest solutions for CS231n 2021-2024

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?

Multimodal Prompting with Missing Modalities for Visual Recognition, CVPR'23

work in progress

Deep Isometric Learning for Visual Recognition (ICML 2020)

Improving Generalization via Scalable Neighborhood Component Analysis

Aerial scout for first responders. DroneAid uses machine learning to detect calls for help on the ground placed by those in need.