visual-recognition

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

☄️ Node.js library to access IBM Watson services.

UI.Vision: Open-Source RPA Software (formerly Kantu) - Modern Robotic Process Automation with Selenium IDE++

Classify images offline using Watson Visual Recognition and Core ML

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

Official PyTorch implementation of Fully Attentional Networks

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

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

Custom Object Detection with TensorFlow

Official PyTorch implementation of Global Context Vision Transformers

📷 Visual regression test tool.

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

Deep Isometric Learning for Visual Recognition (ICML 2020)

work in progress

Improving Generalization via Scalable Neighborhood Component Analysis

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

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

PyTorch reimplementation of the paper "Involution: Inverting the Inherence of Convolution for Visual Recognition" (2D and 3D Involution) [CVPR 2021].

My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

[ICLR 2023 Spotlight] GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation