HumaniBench is a benchmark suite for evaluating Large Multimodal Models on seven Human-Centered AI principles namely Fairness, Ethics, Understanding, Reasoning, Language, Inclusivity, Empathy, and …

Reference Implementations for the Agentic AI bootcamp

Interpretability bootcamp reference implementations

A streamlined reference manual for AI practitioners, students, and developers to quickly look up core concepts and implementations.

Track emissions from Compute and recommend ways to reduce their impact on the environment.

VLDBench: A large-scale benchmark for evaluating Vision-Language Models (VLMs) and Large Language Models (LLMs) on multimodal disinformation detection.

Several Coding Patterns for Solving Data Structures and Algorithms Problems during Interviews

Image augmentation for machine learning experiments.

Datasets for testing motion planning algorithms.

A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e. LLMs/VLMs, inspired by awesome-computer-vision, including papers, codes, and related websites

Comprehensive list of internships for fall 2024!

This is the RL project for ECE1508

Notes and exercise solutions for second edition of Sutton & Barto's book

Lecture Notes of Course Applied Deep Learning

Code accompanying the paper "From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds" by C. Sommer, Y. Sun, L. Guibas, D. Cremers and T. Birdal.

Public quant internship repository, maintained by NUFT but available for everyone.

Crowdsourced list of Canadian tech companies that are hiring Interns and New Grads for 2025

Here is a list of 3D vision resources

[CVPR'2022]: 3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow

Robot and CV+AI assisted door opening for wheelchairs

S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scene

SCARP: 3D Shape Completion in ARbitrary Poses for Improved Grasping

RGENet is a REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds. It aims at generating the optimal grasp of novel objects from partial noisy observations.

A curated list of awesome datasets for SLAM

Training code for GA3C-CADRL algorithm (collision avoidance with deep RL)

A collection of research materials on explainable AI/ML

The Missing Semester of Your CS Education 📚